Triple

T9701226
Position Surface form Disambiguated ID Type / Status
Subject Drake Hotel E234779 entity
Predicate founder P104 FINISHED
Object Tracy C. Drake
Tracy C. Drake was an American hotelier best known for developing and operating prominent Chicago luxury hotels in the early 20th century.
E814368 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: Tracy C. Drake | Statement: [Drake Hotel, founder, Tracy C. Drake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tracy C. Drake
Context triple: [Drake Hotel, founder, Tracy C. Drake]
  • A. Tracy B. Strong
    Tracy B. Strong was an American political theorist known for his influential work on Nietzsche, democratic theory, and the history of political thought.
  • B. Kaye V. Dowling
    Kaye V. Dowling was the wife of American film, radio, and television actor Hugh Marlowe.
  • C. Bonnie E. John
    Bonnie E. John is a cognitive psychologist and human-computer interaction researcher known for her work on cognitive modeling and usability engineering.
  • D. Amy E. Duddleston
    Amy E. Duddleston is an American film editor known for her work on major studio features and acclaimed television series.
  • E. Aleta A. Trauger
    Aleta A. Trauger is a United States District Judge for the Middle District of Tennessee, known for notable rulings on civil rights and constitutional issues.
  • 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: Tracy C. Drake
Triple: [Drake Hotel, founder, Tracy C. Drake]
Generated description
Tracy C. Drake was an American hotelier best known for developing and operating prominent Chicago luxury hotels in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tracy C. Drake
Target entity description: Tracy C. Drake was an American hotelier best known for developing and operating prominent Chicago luxury hotels in the early 20th century.
  • A. Tracy B. Strong
    Tracy B. Strong was an American political theorist known for his influential work on Nietzsche, democratic theory, and the history of political thought.
  • B. Kaye V. Dowling
    Kaye V. Dowling was the wife of American film, radio, and television actor Hugh Marlowe.
  • C. Bonnie E. John
    Bonnie E. John is a cognitive psychologist and human-computer interaction researcher known for her work on cognitive modeling and usability engineering.
  • D. Amy E. Duddleston
    Amy E. Duddleston is an American film editor known for her work on major studio features and acclaimed television series.
  • E. Aleta A. Trauger
    Aleta A. Trauger is a United States District Judge for the Middle District of Tennessee, known for notable rulings on civil rights and constitutional issues.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d70f55c8190934f37c25e9d4ba4 completed April 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1912e645881908d223a93f3ee61da completed April 4, 2026, 10:31 p.m.
NEDg Description generation batch_69d191ea02e8819097e5a4247a8084f6 completed April 4, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69d19251095881909272c53c026b2ad1 completed April 4, 2026, 10:36 p.m.
Created at: March 30, 2026, 8:18 p.m.