Triple

T12391780
Position Surface form Disambiguated ID Type / Status
Subject Single White Female E296010 entity
Predicate authorOfWorkAdapted P102640 FINISHED
Object John Lutz
John Lutz was an American crime and mystery novelist best known for his suspenseful thrillers, several of which were adapted for film and television.
E982778 NE FINISHED

How this triple was built (5 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: John Lutz | Statement: [Single White Female, authorOfWorkAdapted, John Lutz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Lutz
Context triple: [Single White Female, authorOfWorkAdapted, John Lutz]
  • A. Gene L. Dodaro
    Gene L. Dodaro is an American public official who leads the U.S. Government Accountability Office as its chief auditor and oversight authority.
  • B. Phillip A. Talbert
    Phillip A. Talbert is a federal prosecutor who serves as the United States Attorney for the Eastern District of California.
  • C. Jeffrey B. Skiles
    Jeffrey B. Skiles is an American airline pilot best known as the first officer who helped successfully ditch US Airways Flight 1549 on the Hudson River in 2009.
  • D. William K. Reilly
    William K. Reilly is an American environmental leader and former Administrator of the U.S. Environmental Protection Agency known for his influential role in advancing environmental policy and conservation.
  • E. Donn Cambern
    Donn Cambern was an American film editor known for his work on numerous prominent Hollywood films, including the adventure comedy "Romancing the Stone."
  • 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: John Lutz
Triple: [Single White Female, authorOfWorkAdapted, John Lutz]
Generated description
John Lutz was an American crime and mystery novelist best known for his suspenseful thrillers, several of which were adapted for film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Lutz
Target entity description: John Lutz was an American crime and mystery novelist best known for his suspenseful thrillers, several of which were adapted for film and television.
  • A. Gene L. Dodaro
    Gene L. Dodaro is an American public official who leads the U.S. Government Accountability Office as its chief auditor and oversight authority.
  • B. Phillip A. Talbert
    Phillip A. Talbert is a federal prosecutor who serves as the United States Attorney for the Eastern District of California.
  • C. Jeffrey B. Skiles
    Jeffrey B. Skiles is an American airline pilot best known as the first officer who helped successfully ditch US Airways Flight 1549 on the Hudson River in 2009.
  • D. William K. Reilly
    William K. Reilly is an American environmental leader and former Administrator of the U.S. Environmental Protection Agency known for his influential role in advancing environmental policy and conservation.
  • E. Donn Cambern
    Donn Cambern was an American film editor known for his work on numerous prominent Hollywood films, including the adventure comedy "Romancing the Stone."
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: authorOfWorkAdapted
Context triple: [Single White Female, authorOfWorkAdapted, John Lutz]
  • A. adaptedWorkOfAuthor
    Indicates that a work is an adaptation derived from, based on, or reinterpreting the original work of a specified author.
  • B. adaptedAuthor chosen
    Indicates that one entity is the author whose work has been adapted by another entity (e.g., into a different medium or format).
  • C. authorOfInspiredWork
    Indicates that one entity is the creator or originator of a work that has inspired another work or entity.
  • D. composerOfSourceWork
    Indicates that an entity is the composer who created the original source work on which another work is based.
  • E. authorOfCompanionWork
    Indicates that one entity is the creator or writer of another entity that serves as a companion or supplementary work to a primary work.
  • F. None of above.

Provenance (6 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd0bcc48190bb1a59a3aaa6bfdf completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347c239881909a031e9e195080c9 completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f63674aa3c81908ba82a9d246b3b3a completed May 2, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69f63a9b32fc8190ab98492ff91d2a66 completed May 2, 2026, 5:55 p.m.
PD Predicate disambiguation batch_69d93ed256788190b704cad171a4824e completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:54 p.m.