Triple

T11630002
Position Surface form Disambiguated ID Type / Status
Subject Byron Pitts E276371 entity
Predicate name P16 FINISHED
Object Byron Pitts E276371 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: Byron Pitts | Statement: [Byron Pitts, name, Byron Pitts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byron Pitts
Context triple: [Byron Pitts, name, Byron Pitts]
  • A. Byron Pitts chosen
    Byron Pitts is an American television journalist and author best known as a co-anchor of ABC News’ “Nightline” and for his award-winning reporting on major national and international stories.
  • B. Joel O’Brien
    Joel O’Brien is a musician known for his work featured on the album "Tapestry."
  • C. Gregg Philbin
    Gregg Philbin was an American bassist best known for his work with rock band REO Speedwagon during their early years and classic 1970s albums.
  • D. Dan Riccio
    Dan Riccio is a senior Apple executive and longtime hardware engineering leader known for overseeing the development of many of the company’s major products.
  • E. Philip Baker Hall
    Philip Baker Hall was an American character actor renowned for his intense, understated performances in films like "Magnolia," "Boogie Nights," and "Hard Eight," as well as memorable television roles including his iconic turn as library cop Lt. Bookman on "Seinfeld."
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a127b2688190ae3a340f851e834b completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87a20af481909b47775c7cb6ec3b completed April 26, 2026, 9:46 p.m.
Created at: April 8, 2026, 9:39 p.m.