Triple

T22002302
Position Surface form Disambiguated ID Type / Status
Subject Greg Medavoy E543359 entity
Predicate hasColleague P398 FINISHED
Object Sylvia Costas 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: Sylvia Costas | Statement: [Greg Medavoy, hasColleague, Sylvia Costas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvia Costas
Context triple: [Greg Medavoy, hasColleague, Sylvia Costas]
  • A. Sylvia Costas chosen
    Sylvia Costas is a key supporting character on the television drama "NYPD Blue," known as an assistant district attorney and the love interest and later wife of Detective Andy Sipowicz.
  • B. Maria Loriga
    Maria Loriga was the mother of Italian Communist Party leader Enrico Berlinguer.
  • C. Sylvia Pasquel
    Sylvia Pasquel is a Mexican actress known for her extensive work in telenovelas, film, and theater, and as a member of the prominent Pinal entertainment family.
  • D. Lea Greco
    Lea Greco is known as the wife of American jazz and pop singer-pianist Buddy Greco.
  • E. Mercedes Colomar
    Mercedes Colomar is a central character in the noir-inspired adventure game Grim Fandango, known as the virtuous and resourceful soul whom protagonist Manny Calavera strives to protect and accompany through the Land of the Dead.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276bf2a48190910d9c27f1c5e74f completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:20 p.m.