Triple

T6478693
Position Surface form Disambiguated ID Type / Status
Subject Gang Related E146134 entity
Predicate starring P1507 FINISHED
Object Lela Rochon E32637 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: Lela Rochon | Statement: [Gang Related, starring, Lela Rochon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lela Rochon
Context triple: [Gang Related, starring, Lela Rochon]
  • A. Lela Rochon chosen
    Lela Rochon is an American actress best known for her breakout role in the 1995 film "Waiting to Exhale" and her work in numerous film and television projects throughout the 1990s.
  • B. Lola Ray Facinelli
    Lola Ray Facinelli is the daughter of American actor Peter Facinelli.
  • C. Marilu Henner
    Marilu Henner is an American actress and author best known for her role as Elaine Nardo on the TV sitcom "Taxi" and for her appearances in numerous film and television projects.
  • D. Retta
    Retta is an American actress and comedian best known for her roles on the television series "Parks and Recreation" and "Good Girls."
  • E. Gigi Perreau
    Gigi Perreau is an American former child actress who appeared in numerous films and television shows from the 1940s onward, becoming one of the most recognizable young performers of her era.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a4d35f08190a94143367b1d45c5 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653aa82808190a1e9d420e81d7839 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:51 p.m.