Triple

T2373693
Position Surface form Disambiguated ID Type / Status
Subject Quoc V. Le E46144 entity
Predicate coAuthorWith P398 FINISHED
Object Barret Zoph E116777 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: Barret Zoph | Statement: [Quoc V. Le, coAuthorWith, Barret Zoph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barret Zoph
Context triple: [Quoc V. Le, coAuthorWith, Barret Zoph]
  • A. Barret Zoph chosen
    Barret Zoph is a machine learning researcher known for his work on neural architecture search and contributions to deep learning at Google Brain.
  • B. Hal Borne
    Hal Borne was an American composer, arranger, and bandleader best known for his work on film and swing-era music, particularly in Hollywood musicals.
  • C. John LaRue
    John LaRue was an early American pioneer and landowner in Kentucky after whom LaRue County was named.
  • D. Stephen Orlac
    Stephen Orlac is the tormented concert pianist in the 1935 horror film "Mad Love," whose transplanted hands drive him toward madness and violence.
  • E. Ben Dreith
    Ben Dreith is a former American football official best known for his long career as an NFL referee, including working high-profile games such as Super Bowl XV.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc791c4688190a4b8f0e540e84eb4 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8a8c2b88190a18dbf35d745958f completed March 9, 2026, 11:02 a.m.
Created at: March 4, 2026, 7:56 p.m.