Triple

T8970301
Position Surface form Disambiguated ID Type / Status
Subject Hunter Carson E214247 entity
Predicate notableWork P4 FINISHED
Object Bullfighter E768574 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: Bullfighter | Statement: [Hunter Carson, notableWork, Bullfighter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bullfighter
Context triple: [Hunter Carson, notableWork, Bullfighter]
  • A. Escamillo
    Escamillo is the charismatic toreador in Bizet’s opera "Carmen," famed for his bravado and the rousing "Toreador Song."
  • B. The Matador chosen
    The Matador is a 2005 dark comedy crime film starring Pierce Brosnan as a jaded hitman who forms an unlikely friendship with a struggling businessman, directed by Richard Shepard.
  • C. Ferdinand the Bull
    Ferdinand the Bull is a classic 1938 Disney animated short film, based on the children's book "The Story of Ferdinand," about a gentle bull who prefers smelling flowers to fighting in bullfights.
  • D. Matadors
    The Matadors are the athletic teams representing California State University, Northridge in NCAA competition.
  • E. El Matador
    El Matador is the famous nickname of Mexican former football striker Luis Hernández, known for his prolific goal-scoring and standout performances in the late 1990s.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67672c108190919ae6ca69b6291f completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc96006e48190978e4ccdedc48b41 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:02 p.m.