Triple

T2308161
Position Surface form Disambiguated ID Type / Status
Subject Raging Bull E51889 entity
Predicate basedOnAuthor P2806 FINISHED
Object Peter Savage
Peter Savage was an author whose work served as the basis for the acclaimed boxing film "Raging Bull."
 E272419 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: Peter Savage | Statement: [Raging Bull, basedOnAuthor, Peter Savage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Savage
Context triple: [Raging Bull, basedOnAuthor, Peter Savage]
  • A. Peter Sargeant
    Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
  • B. Mark Sanger
    Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
  • C. Peter Mathieson
    Peter Mathieson is a British nephrologist and academic leader who has served as principal and vice-chancellor of major universities, including the University of Edinburgh and the University of Hong Kong.
  • D. Simon Gage
    Simon Gage is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Gage.
  • E. David Shackleton
    David Shackleton was a prominent British trade union leader and Labour politician who played a key role in the early development of the Labour movement in the United Kingdom.
  • 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: Peter Savage
Triple: [Raging Bull, basedOnAuthor, Peter Savage]
Generated description
Peter Savage was an author whose work served as the basis for the acclaimed boxing film "Raging Bull."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Savage
Target entity description: Peter Savage was an author whose work served as the basis for the acclaimed boxing film "Raging Bull."
  • A. Peter Sargeant
    Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
  • B. Mark Sanger
    Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
  • C. Peter Mathieson
    Peter Mathieson is a British nephrologist and academic leader who has served as principal and vice-chancellor of major universities, including the University of Edinburgh and the University of Hong Kong.
  • D. Simon Gage
    Simon Gage is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Gage.
  • E. David Shackleton
    David Shackleton was a prominent British trade union leader and Labour politician who played a key role in the early development of the Labour movement in the United Kingdom.
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc605cf808190a326e6c78e3f9166 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f78cce88190a74f9ab6a540fe83 completed March 9, 2026, 7:28 p.m.
NEDg Description generation batch_69af208bd8c08190bb7baf0136da163d completed March 9, 2026, 7:33 p.m.
NED2 Entity disambiguation (via description) batch_69af2104b9a481908a6e3ec316deefd3 completed March 9, 2026, 7:35 p.m.
Created at: March 4, 2026, 7:49 p.m.