Triple

T9205448
Position Surface form Disambiguated ID Type / Status
Subject Debbie Cenziper E220964 entity
Predicate notableWork P4 FINISHED
Object Citizen K-9: How a Dog Named K-9 Helped Solve the Coldest Case in U.S. History
"Citizen K-9: How a Dog Named K-9 Helped Solve the Coldest Case in U.S. History" is a nonfiction true-crime book that chronicles how a specially trained dog contributed to cracking one of the longest-unsolved criminal cases in the United States.
E785843 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Citizen K-9: How a Dog Named K-9 Helped Solve the Coldest Case in U.S. History | Statement: [Debbie Cenziper, notableWork, Citizen K-9: How a Dog Named K-9 Helped Solve the Coldest Case in U.S. History]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citizen K-9: How a Dog Named K-9 Helped Solve the Coldest Case in U.S. History
Context triple: [Debbie Cenziper, notableWork, Citizen K-9: How a Dog Named K-9 Helped Solve the Coldest Case in U.S. History]
  • A. K-9
    K-9 is a robotic dog from the Doctor Who universe, known as a loyal, intelligent companion equipped with advanced technology and weaponry.
  • B. The Case of the Howling Dog
    The Case of the Howling Dog is a 1934 detective novel by Erle Stanley Gardner featuring lawyer-sleuth Perry Mason investigating a bizarre case involving a mysterious will, a howling dog, and a complex murder plot.
  • C. Murder in the Smithsonian
    Murder in the Smithsonian is a mystery novel in the Capital Crimes series, set largely within the Smithsonian Institution and centered on a high-profile murder investigation in Washington, D.C.
  • D. K-9 and Company
    K-9 and Company is a British science-fiction television series set in the Doctor Who universe, featuring the Doctor’s robotic dog K-9 and former companion Sarah Jane Smith in their own adventures.
  • E. The Kettering Incident
    The Kettering Incident is an Australian mystery-thriller television series centered on a doctor who returns to her Tasmanian hometown and becomes entangled in a decades-old disappearance and strange supernatural events.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Citizen K-9: How a Dog Named K-9 Helped Solve the Coldest Case in U.S. History
Triple: [Debbie Cenziper, notableWork, Citizen K-9: How a Dog Named K-9 Helped Solve the Coldest Case in U.S. History]
Generated description
"Citizen K-9: How a Dog Named K-9 Helped Solve the Coldest Case in U.S. History" is a nonfiction true-crime book that chronicles how a specially trained dog contributed to cracking one of the longest-unsolved criminal cases in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Citizen K-9: How a Dog Named K-9 Helped Solve the Coldest Case in U.S. History
Target entity description: "Citizen K-9: How a Dog Named K-9 Helped Solve the Coldest Case in U.S. History" is a nonfiction true-crime book that chronicles how a specially trained dog contributed to cracking one of the longest-unsolved criminal cases in the United States.
  • A. K-9
    K-9 is a robotic dog from the Doctor Who universe, known as a loyal, intelligent companion equipped with advanced technology and weaponry.
  • B. The Case of the Howling Dog
    The Case of the Howling Dog is a 1934 detective novel by Erle Stanley Gardner featuring lawyer-sleuth Perry Mason investigating a bizarre case involving a mysterious will, a howling dog, and a complex murder plot.
  • C. Murder in the Smithsonian
    Murder in the Smithsonian is a mystery novel in the Capital Crimes series, set largely within the Smithsonian Institution and centered on a high-profile murder investigation in Washington, D.C.
  • D. K-9 and Company
    K-9 and Company is a British science-fiction television series set in the Doctor Who universe, featuring the Doctor’s robotic dog K-9 and former companion Sarah Jane Smith in their own adventures.
  • E. The Kettering Incident
    The Kettering Incident is an Australian mystery-thriller television series centered on a doctor who returns to her Tasmanian hometown and becomes entangled in a decades-old disappearance and strange supernatural events.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd947a0a08190966f22a6207c9120 completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065e09fbc81908159b386038b3d73 completed April 4, 2026, 1:14 a.m.
NEDg Description generation batch_69d0676ea53c81908b16dfce6810f6b0 completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d0684c1a108190bc7fdfdced16e24c completed April 4, 2026, 1:24 a.m.
Created at: March 30, 2026, 7:26 p.m.