Triple

T8952174
Position Surface form Disambiguated ID Type / Status
Subject Barrett Foa E213378 entity
Predicate name P16 FINISHED
Object Barrett Foa E213378 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: Barrett Foa | Statement: [Barrett Foa, name, Barrett Foa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barrett Foa
Context triple: [Barrett Foa, name, Barrett Foa]
  • A. Barrett Foa chosen
    Barrett Foa is an American actor best known for his long-running role as tech specialist Eric Beale on the television series NCIS: Los Angeles.
  • B. Paul Bales
    Paul Bales is a film producer known for his work on low-budget genre movies, including the fantasy action film "Avengers Grimm."
  • C. James J. Blanchard
    James J. Blanchard is an American Democratic politician who served as the 45th governor of Michigan and later as U.S. ambassador to Canada.
  • D. Daniel L. Fapp
    Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
  • E. Barry Peterson
    Barry Peterson is a Canadian cinematographer known for his work on major studio comedies and action films, including the 2015 movie "Vacation."
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670dc0c88190b1f59e96ad88e4ee completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc20a5ab481909e10f3abf679ec4c completed April 3, 2026, 1:35 p.m.
Created at: March 30, 2026, 6:59 p.m.