Triple

T7217363
Position Surface form Disambiguated ID Type / Status
Subject Charlie Sheen E149569 entity
Predicate familyName P18 FINISHED
Object Estévez E150713 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: Estévez | Statement: [Charlie Sheen, familyName, Estévez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Estévez
Context triple: [Charlie Sheen, familyName, Estévez]
  • A. Estévez chosen
    Estévez is the original Spanish family name of actor Martin Sheen, also shared by several of his children in the entertainment industry.
  • B. Forlán
    Forlán is the surname of Uruguayan former professional footballer Diego Forlán, a renowned forward known for his prolific goal-scoring and success in European clubs and international tournaments.
  • C. Rafael Núñez
    Rafael Núñez was a Colombian lawyer, politician, and four-time president best known for leading the Regeneration period and shaping the 1886 Constitution of Colombia.
  • D. Llorente
    Llorente is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and access to the Pacific Ocean.
  • E. Benítez
    Benítez is a Spanish surname most prominently associated with football manager Rafael Benítez, known for his successful coaching career in European club football.
  • 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e99170d88190b1aef326a7d81134 completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cbfb46388190992cc98039e71748 completed March 28, 2026, 12:39 p.m.
Created at: March 27, 2026, 2:53 p.m.