Triple

T12361272
Position Surface form Disambiguated ID Type / Status
Subject Death and the Maiden E294741 entity
Predicate screenwriter P2831 FINISHED
Object Rafael Yglesias E395693 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: Rafael Yglesias | Statement: [Death and the Maiden, screenwriter, Rafael Yglesias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rafael Yglesias
Context triple: [Death and the Maiden, screenwriter, Rafael Yglesias]
  • A. Rafael Yglesias chosen
    Rafael Yglesias is an American novelist and screenwriter known for works such as "Fearless" and adaptations including the 1998 film version of "Les Misérables."
  • B. Jorge Saralegui
    Jorge Saralegui is a film producer best known for his work on genre movies, including the horror adaptation "Queen of the Damned."
  • C. Enrique García
    Enrique García is a Spanish-language personal name shared by multiple notable individuals across fields such as sports, politics, and the arts.
  • D. Emmanuel Pelaez
    Emmanuel Pelaez was a Filipino lawyer, diplomat, and politician who served in various high-ranking government positions, including as vice president of the Philippines in the early 1960s.
  • E. Luis Lopez-Fitzgerald
    Luis Lopez-Fitzgerald is a central romantic lead and heroic police officer in the American soap opera "Passions," known for his tumultuous relationships and family drama.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f91a1908190a8a4fa9da3b47933 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6f1e29c8190b073c3293cf68cb2 completed May 3, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:54 p.m.