Triple

T201011
Position Surface form Disambiguated ID Type / Status
Subject Mickey Rooney E4503 entity
Predicate notableWork P4 FINISHED
Object Bill
Bill is a film featuring Mickey Rooney in a critically acclaimed dramatic role portraying a man with an intellectual disability.
 E34675 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: Bill | Statement: [Mickey Rooney, notableWork, Bill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bill
Context triple: [Mickey Rooney, notableWork, Bill]
  • A. Bill
    Bill is a common masculine given name, typically used as a diminutive or nickname for William.
  • B. Jim
    Jim is a common English given name, typically used as a diminutive or familiar form of James.
  • C. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • D. John
    John H. Sununu is an American politician and engineer who served as Governor of New Hampshire and later as White House Chief of Staff under President George H. W. Bush.
  • E. John
    John is the given name of John Bardeen, the American physicist who uniquely won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
  • 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: Bill
Triple: [Mickey Rooney, notableWork, Bill]
Generated description
Bill is a film featuring Mickey Rooney in a critically acclaimed dramatic role portraying a man with an intellectual disability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bill
Target entity description: Bill is a film featuring Mickey Rooney in a critically acclaimed dramatic role portraying a man with an intellectual disability.
  • A. Bill
    Bill is a common masculine given name, typically used as a diminutive or nickname for William.
  • B. Jim
    Jim is a common English given name, typically used as a diminutive or familiar form of James.
  • C. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • D. John
    John H. Sununu is an American politician and engineer who served as Governor of New Hampshire and later as White House Chief of Staff under President George H. W. Bush.
  • E. John
    John is the given name of John Bardeen, the American physicist who uniquely won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25be47ea881909c296b30a0d47a65 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a389a9bb7c81909b60569e4c6074fb completed March 1, 2026, 12:34 a.m.
NEDg Description generation batch_69a38a53a07881908a1e1a0773680044 completed March 1, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69a38acac1ec81909578321bb8b0bfd2 completed March 1, 2026, 12:39 a.m.
Created at: Feb. 28, 2026, 2:51 a.m.