Triple

T12408273
Position Surface form Disambiguated ID Type / Status
Subject Eric Bates E296444 entity
Predicate relationshipWith P10260 FINISHED
Object Jack Brown
Jack Brown is an individual known primarily through his personal association with Eric Bates.
E985412 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: Jack Brown | Statement: [Eric Bates, relationshipWith, Jack Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Brown
Context triple: [Eric Bates, relationshipWith, Jack Brown]
  • A. Jack Brown
    Jack Brown is a fictional character from the 1982 comedy-drama film "The Toy," in which a wealthy boy is allowed to "own" him as a human plaything, leading to humorous yet socially charged situations.
  • B. Johnny Brown
    Johnny Brown is a central character in the musical "The Unsinkable Molly Brown," typically portrayed as Molly Brown’s devoted but sometimes conflicted husband.
  • C. Harry Joe Brown
    Harry Joe Brown was an American film producer best known for his work on classic Westerns and collaborations with stars like Randolph Scott.
  • D. Andrew Brown
    Andrew Brown is a songwriter credited with co-writing the track "Stop and Stare."
  • E. Jack H. Brown
    Jack H. Brown was an American business executive and longtime chairman and CEO of Stater Bros. Markets, recognized for his leadership in the grocery industry and philanthropy in education and public 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: Jack Brown
Triple: [Eric Bates, relationshipWith, Jack Brown]
Generated description
Jack Brown is an individual known primarily through his personal association with Eric Bates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jack Brown
Target entity description: Jack Brown is an individual known primarily through his personal association with Eric Bates.
  • A. Jack Brown
    Jack Brown is a fictional character from the 1982 comedy-drama film "The Toy," in which a wealthy boy is allowed to "own" him as a human plaything, leading to humorous yet socially charged situations.
  • B. Johnny Brown
    Johnny Brown is a central character in the musical "The Unsinkable Molly Brown," typically portrayed as Molly Brown’s devoted but sometimes conflicted husband.
  • C. Harry Joe Brown
    Harry Joe Brown was an American film producer best known for his work on classic Westerns and collaborations with stars like Randolph Scott.
  • D. Andrew Brown
    Andrew Brown is a songwriter credited with co-writing the track "Stop and Stare."
  • E. Jack H. Brown
    Jack H. Brown was an American business executive and longtime chairman and CEO of Stater Bros. Markets, recognized for his leadership in the grocery industry and philanthropy in education and public 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d4a08e0819085c656e35038e6b2 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63efe60388190944fe3226be4cc7c completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f64305712881908a8ccd884b19e602 completed May 2, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69f644dc87b08190a99846fee86b0570 completed May 2, 2026, 6:39 p.m.
Created at: April 8, 2026, 9:55 p.m.