Triple

T5585191
Position Surface form Disambiguated ID Type / Status
Subject Out of the Past E146737 entity
Predicate character P662 FINISHED
Object Jeff Bailey
Jeff Bailey is the enigmatic private detective and central protagonist of the classic 1947 film noir "Out of the Past."
E528719 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: Jeff Bailey | Statement: [Out of the Past, character, Jeff Bailey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Bailey
Context triple: [Out of the Past, character, Jeff Bailey]
  • A. Ken Maynard
    Ken Maynard was a popular American silent- and early sound-era Western film star and stunt rider known for his roles as a cowboy hero.
  • B. Blake Bailey
    Blake Bailey is an American biographer best known for his extensively researched and critically acclaimed biographies of major literary figures such as John Cheever and Philip Roth.
  • C. Andrew John Bailey
    Andrew John Bailey is a British central banker who has served as the Governor of the Bank of England since 2020.
  • D. Don Airey
    Don Airey is an English rock keyboardist best known for his work with Deep Purple and numerous other prominent hard rock and heavy metal acts.
  • E. Geoff Bell
    Geoff Bell is a British character actor known for his tough-guy roles in films such as "Green Street," "The Business," and "Kingsman: The Secret Service."
  • 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: Jeff Bailey
Triple: [Out of the Past, character, Jeff Bailey]
Generated description
Jeff Bailey is the enigmatic private detective and central protagonist of the classic 1947 film noir "Out of the Past."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeff Bailey
Target entity description: Jeff Bailey is the enigmatic private detective and central protagonist of the classic 1947 film noir "Out of the Past."
  • A. Ken Maynard
    Ken Maynard was a popular American silent- and early sound-era Western film star and stunt rider known for his roles as a cowboy hero.
  • B. Blake Bailey
    Blake Bailey is an American biographer best known for his extensively researched and critically acclaimed biographies of major literary figures such as John Cheever and Philip Roth.
  • C. Andrew John Bailey
    Andrew John Bailey is a British central banker who has served as the Governor of the Bank of England since 2020.
  • D. Don Airey
    Don Airey is an English rock keyboardist best known for his work with Deep Purple and numerous other prominent hard rock and heavy metal acts.
  • E. Geoff Bell
    Geoff Bell is a British character actor known for his tough-guy roles in films such as "Green Street," "The Business," and "Kingsman: The Secret Service."
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02085d0e48190b8d185fe7f3d8579 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0286558b48190a8907c06111a48f3 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c0350eb53081909dc573fefa3e7f0a completed March 22, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69c036ee4e1c8190b9e60655d72407ff completed March 22, 2026, 6:37 p.m.
Created at: March 22, 2026, 3:38 p.m.