Triple

T5175099
Position Surface form Disambiguated ID Type / Status
Subject Barret Zoph E116777 entity
Predicate coauthorWith P2389 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: [Barret Zoph, coauthorWith, Barret Zoph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barret Zoph
Context triple: [Barret Zoph, 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. Zeke Zettner
    Zeke Zettner was an American musician best known as a bassist for the influential proto-punk band The Stooges.
  • C. Orator Shafer
    Orator Shafer was a 19th-century American professional baseball outfielder known for his strong throwing arm and standout defensive play.
  • D. Victor Feldbrill
    Victor Feldbrill was a prominent Canadian conductor known for championing Canadian composers and leading major orchestras across the country.
  • E. 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.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7971284481909e6d07b2368a4f76 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed94a6ed08190b035afa20123c737 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:45 p.m.