Triple

T16543895
Position Surface form Disambiguated ID Type / Status
Subject Access Hollywood E401889 entity
Predicate presenter P83 FINISHED
Object Mario Lopez E869530 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: Mario Lopez | Statement: [Access Hollywood, presenter, Mario Lopez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Lopez
Context triple: [Access Hollywood, presenter, Mario Lopez]
  • A. Mario Lopez chosen
    Mario Lopez is an American television host and actor best known for his breakout role on "Saved by the Bell" and his long-running work as an entertainment news and reality show presenter.
  • B. Frankie Muniz
    Frankie Muniz is an American actor best known for his starring role as the gifted but beleaguered middle child in the television sitcom "Malcolm in the Middle."
  • C. Sheen Estevez
    Sheen Estevez is a hyperactive, dim-witted, and Ultralord-obsessed boy from the animated series "The Adventures of Jimmy Neutron: Boy Genius."
  • D. Cal Hudson
    Cal Hudson is a Starfleet officer in the Star Trek universe who defects to join the Maquis resistance movement against the Cardassians.
  • E. Joshua Leonard
    Joshua Leonard is an American actor and filmmaker best known for his breakout role in "The Blair Witch Project" and his work in independent film and television.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3455fab34819086c77ff45b85f5db completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b3248c8190b63793bfc072aa4f completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.