Triple

T1951937
Position Surface form Disambiguated ID Type / Status
Subject Draft Day E42177 entity
Predicate producer P490 FINISHED
Object Ali Bell
Ali Bell is a film producer known for her work on major Hollywood projects, including the sports drama "Draft Day."
E219113 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: Ali Bell | Statement: [Draft Day, producer, Ali Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali Bell
Context triple: [Draft Day, producer, Ali Bell]
  • A. Andrew Bell
    Andrew Bell was an 18th-century Scottish printer and engraver best known for co-founding and illustrating the first edition of the Encyclopaedia Britannica.
  • B. 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."
  • C. Andy Bell
    Andy Bell is an English musician and songwriter best known as the bassist for the rock band Oasis and later a member of Beady Eye and Ride.
  • D. Michael Devine
    Michael Devine was an Irish republican hunger striker and INLA member who died during the 1981 Maze Prison hunger strike in Northern Ireland.
  • E. Michael Coulter
    Michael Coulter is a British cinematographer known for his work on popular films including the romantic comedy "Love Actually."
  • 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: Ali Bell
Triple: [Draft Day, producer, Ali Bell]
Generated description
Ali Bell is a film producer known for her work on major Hollywood projects, including the sports drama "Draft Day."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ali Bell
Target entity description: Ali Bell is a film producer known for her work on major Hollywood projects, including the sports drama "Draft Day."
  • A. Andrew Bell
    Andrew Bell was an 18th-century Scottish printer and engraver best known for co-founding and illustrating the first edition of the Encyclopaedia Britannica.
  • B. 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."
  • C. Andy Bell
    Andy Bell is an English musician and songwriter best known as the bassist for the rock band Oasis and later a member of Beady Eye and Ride.
  • D. Michael Devine
    Michael Devine was an Irish republican hunger striker and INLA member who died during the 1981 Maze Prison hunger strike in Northern Ireland.
  • E. Michael Coulter
    Michael Coulter is a British cinematographer known for his work on popular films including the romantic comedy "Love Actually."
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb34eb5748190a3ac395252951eba completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbc3cf6881909d42a04be18c3c73 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfcd009d88190ba7f380aa1c82300 completed March 8, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69adfd946b6081908ab6358d0f237a58 completed March 8, 2026, 10:52 p.m.
Created at: March 4, 2026, 7:36 p.m.