Triple

T18226344
Position Surface form Disambiguated ID Type / Status
Subject National Football League coach E436431 entity
Predicate mayHaveBackgroundIn P15585 FINISHED
Object former NFL player LITERAL FINISHED

How this triple was built (2 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: former NFL player | Statement: [National Football League coach, mayHaveBackgroundIn, former NFL player]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayHaveBackgroundIn
Context triple: [National Football League coach, mayHaveBackgroundIn, former NFL player]
  • A. hasBackground chosen
    Indicates that an entity possesses or is associated with a particular background, such as context, setting, or prior circumstances.
  • B. mayRequireBackgroundIn
    Indicates that performing or understanding one entity may necessitate prior knowledge, experience, or qualifications in another domain or subject.
  • C. hasAuthorBackgroundIn
    Indicates that an author possesses a particular background, such as education, experience, or expertise, in a specified field or domain.
  • D. hasMemberBackground
    Indicates that an entity has information describing the background or history of one of its members.
  • E. hasNotableHostBackground
    Indicates that the host of an event, show, or program has a background or profile that is considered particularly significant, distinguished, or noteworthy.
  • F. None of above.

Provenance (3 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4aff8748190be5e732f9dbc8dff completed April 19, 2026, 3:28 p.m.
PD Predicate disambiguation batch_69e4332336cc8190808b9c70c888ba65 completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:32 a.m.