Triple

T14710161
Position Surface form Disambiguated ID Type / Status
Subject Radar Pictures E345526 entity
Predicate notableWork P4 FINISHED
Object The Matador 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: The Matador | Statement: [Radar Pictures, notableWork, The Matador]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Matador
Context triple: [Radar Pictures, notableWork, The Matador]
  • A. 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.
  • B. 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.
  • C. El Matador
    El Matador is the famous nickname of Argentine football legend Mario Kempes, the prolific striker who starred in Argentina’s 1978 World Cup triumph.
  • D. Matadors
    The Matadors are the athletic teams representing California State University, Northridge in NCAA competition.
  • E. Matador
    Matador is a 2014 American action-comedy television series that follows a charismatic soccer star who secretly works as a CIA operative.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb9814e0c8190984ac30d276499cc completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08d59b48190a1ddd2aed6ed756e completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.