Triple

T10239752
Position Surface form Disambiguated ID Type / Status
Subject Mike Bibby E243555 entity
Predicate relative P37 FINISHED
Object Henry Bibby E853408 NE 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: Henry Bibby | Statement: [Mike Bibby, relative, Henry Bibby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Bibby
Context triple: [Mike Bibby, relative, Henry Bibby]
  • A. Henry Bibby chosen
    Henry Bibby is a former American professional basketball player and coach, best known for winning three NBA championships with the New York Knicks and later coaching at the collegiate and professional levels.
  • B. Henry Biggs
    Henry Biggs is a central character in the film "The Preacher's Wife," portrayed as a devoted pastor whose strained marriage and crisis of faith draw the attention of a visiting angel.
  • C. Samuel Bayliss
    Samuel Bayliss was a notable local figure significant enough to have Bayliss Park named in his honor, likely for his contributions to the surrounding community or its development.
  • D. Henry Boucher
    Henry Boucher was a French political figure known for co-founding the center-right Democratic Republican Alliance during the Third Republic.
  • E. Johnny Worricker
    Johnny Worricker is a seasoned, quietly principled MI5 intelligence officer whose moral dilemmas drive the British political thriller film "Page Eight."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d21e27f08190b956d351a75c7c52 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71ca702d48190adc39b85c0fe6334 completed April 9, 2026, 3:27 a.m.
Created at: April 6, 2026, 11:24 a.m.