Triple

T19098685
Position Surface form Disambiguated ID Type / Status
Subject Juan "Johnny" Rico E467471 entity
Predicate notableRelationship P1481 FINISHED
Object Carmen Ibáñez 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 Ibáñez | Statement: [Juan "Johnny" Rico, notableRelationship, Carmen Ibáñez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmen Ibáñez
Context triple: [Juan "Johnny" Rico, notableRelationship, Carmen Ibáñez]
  • 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. María Carrasco
    María Carrasco is a Spanish flamenco-pop singer known for her emotive vocal style and early success as a child artist.
  • C. Carolina López
    Carolina López is best known as the widow of Chilean writer Roberto Bolaño, with whom she shared much of his adult life in Spain.
  • 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 José Vega
    María José Vega is a Spanish scholar and literary critic known for her work on Renaissance and Baroque literature and the history of literary theory.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36c55688190b4a5135ea10c9924 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.