Triple

T18533462
Position Surface form Disambiguated ID Type / Status
Subject Nina Holiday E452898 entity
Predicate portrayedBy P1507 FINISHED
Object Idara Victor NE NERFINISHED

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: Idara Victor | Statement: [Nina Holiday, portrayedBy, Idara Victor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Idara Victor
Context triple: [Nina Holiday, portrayedBy, Idara Victor]
  • A. Idara Victor chosen
    Idara Victor is an American actress best known for her television work, including a notable role on the crime drama series "Rizzoli & Isles."
  • B. Amechi Idodo
    Amechi Idodo is a town located within the Enugu East area of Enugu State in southeastern Nigeria.
  • C. Buba Galadima
    Buba Galadima is a Nigerian politician and outspoken political strategist known for his long-time alliance with, and later opposition to, Muhammadu Buhari and his involvement in several opposition parties.
  • D. Ita Osin
    Ita Osin is an urban locality within Abeokuta South in Ogun State, southwestern Nigeria.
  • E. Ore Oduba
    Ore Oduba is a British television and radio presenter best known for his work on BBC children’s news programme Newsround and for winning Strictly Come Dancing in 2016.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533ffc38881909f8ee132314f58a3 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.