Triple

T10239722
Position Surface form Disambiguated ID Type / Status
Subject Mike Bibby E243555 entity
Predicate fullName P16 FINISHED
Object Michael Bibby E243555 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: Michael Bibby | Statement: [Mike Bibby, fullName, Michael Bibby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Bibby
Context triple: [Mike Bibby, fullName, Michael Bibby]
  • A. Mike Bibby chosen
    Mike Bibby is a former American NBA point guard best known for his key role with the Sacramento Kings in the early 2000s and his standout college career at the University of Arizona.
  • B. Deron Bennett
    Deron Bennett is a professional comic book letterer known for his work on various titles across major publishers.
  • C. Jason Teague
    Jason Teague is a recurring character on the television series "Smallville," known as Lana Lang’s love interest and a key figure in the show’s fourth season mystery arc.
  • D. Sean Whalen
    Sean Whalen is an American character actor known for his distinctive, often quirky roles in film and television, including horror and cult favorites.
  • E. Hal Bynum
    Hal Bynum was an American country music songwriter best known for penning narrative-driven hits for artists like Kenny Rogers and Johnny Cash.
  • 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.