Triple

T5779119
Position Surface form Disambiguated ID Type / Status
Subject On My Own E127513 entity
Predicate notablePerformer P17435 FINISHED
Object Lea Salonga E250889 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: Lea Salonga | Statement: [On My Own, notablePerformer, Lea Salonga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lea Salonga
Context triple: [On My Own, notablePerformer, Lea Salonga]
  • A. Lea Salonga chosen
    Lea Salonga is a Filipina singer and actress renowned for her work in musical theatre and as a Disney Legend, particularly for providing the singing voices of iconic animated princesses.
  • B. Juliet Landau
    Juliet Landau is an American actress and director best known for her role as the vampire Drusilla in the television series "Buffy the Vampire Slayer" and its spin-off "Angel."
  • C. Caren Kaye
    Caren Kaye is an American actress best known for her television work in the 1970s and 1980s, including prominent roles in sitcoms and TV movies.
  • D. Daniela Ruah
    Daniela Ruah is a Portuguese-American actress best known for playing Special Agent Kensi Blye on the television series "NCIS: Los Angeles."
  • E. Talia Balsam
    Talia Balsam is an American actress known for her work in film and television, including roles in series like Mad Men and numerous independent movies.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029e26ff88190b7f8eb03bcd30dc6 completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0980d833481908e69a80a63bbe256 completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:50 p.m.