Triple

T8530518
Position Surface form Disambiguated ID Type / Status
Subject Don Hutson E201933 entity
Predicate familyName P18 FINISHED
Object Hutson
Hutson is a surname most notably associated with Don Hutson, a pioneering American football wide receiver regarded as one of the sport’s earliest stars.
 E741747 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: Hutson | Statement: [Don Hutson, familyName, Hutson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hutson
Context triple: [Don Hutson, familyName, Hutson]
  • A. Harbison
    Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
  • B. Hutcherson
    Hutcherson is the surname of American actor Josh Hutcherson, best known for his role as Peeta Mellark in The Hunger Games film series.
  • C. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • D. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • E. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • 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: Hutson
Triple: [Don Hutson, familyName, Hutson]
Generated description
Hutson is a surname most notably associated with Don Hutson, a pioneering American football wide receiver regarded as one of the sport’s earliest stars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hutson
Target entity description: Hutson is a surname most notably associated with Don Hutson, a pioneering American football wide receiver regarded as one of the sport’s earliest stars.
  • A. Harbison
    Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
  • B. Hutcherson
    Hutcherson is the surname of American actor Josh Hutcherson, best known for his role as Peeta Mellark in The Hunger Games film series.
  • C. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • D. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • E. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe67546248190b359c845c0161ad3 completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d68d14c81908bde8ca0113f9503 completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce6ec1e74081908fc235ffd13ef301 completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fe13a00819095f5bec408435426 completed April 2, 2026, 1:32 p.m.
Created at: March 30, 2026, 6:17 p.m.