Triple

T16634216
Position Surface form Disambiguated ID Type / Status
Subject Denise Richards E404156 entity
Predicate characterPortrayed P1507 FINISHED
Object Carmen Ibanez 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: Carmen Ibanez | Statement: [Denise Richards, characterPortrayed, Carmen Ibanez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmen Ibanez
Context triple: [Denise Richards, characterPortrayed, Carmen Ibanez]
  • A. Carmen Ibanez chosen
    Carmen Ibanez is a central character in the Starship Troopers franchise, depicted as an ambitious and skilled starship pilot who rises through the military ranks amid an interstellar war against alien arachnids.
  • B. Carmen Valverde
    Carmen Valverde was the wife of Venezuelan statesman and two-time president Rómulo Betancourt.
  • C. Carmen Larbalestier
    Carmen Larbalestier is a British woman best known as the mother of seven-time Formula One World Champion Lewis Hamilton.
  • D. María Navarro
    María Navarro is a Spanish-language given name and surname combination shared by various notable figures in fields such as politics, academia, and the arts.
  • E. María Romo
    María Romo is a Spanish actress known for her work in film and television.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e8a76c8190bf08e6f6dec63c50 completed April 18, 2026, 12:28 p.m.
Created at: April 10, 2026, 5:17 a.m.