Triple

T9869667
Position Surface form Disambiguated ID Type / Status
Subject Maria E239923 entity
Predicate portrayedBy P1507 FINISHED
Object Carol Lawrence E781734 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: Carol Lawrence | Statement: [Maria, portrayedBy, Carol Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carol Lawrence
Context triple: [Maria, portrayedBy, Carol Lawrence]
  • A. Carol Lawrence chosen
    Carol Lawrence is an American actress, singer, and dancer best known for originating the role of Maria in the original Broadway production of "West Side Story."
  • B. Joan Leslie
    Joan Leslie was an American film actress best known for her roles in classic 1940s Hollywood films, often portraying wholesome, girl-next-door characters.
  • C. Patricia O'Sullivan
    Patricia O'Sullivan is one of the central schoolgirl protagonists in Enid Blyton’s "St. Clare’s" series, known for her lively personality and involvement in the boarding school’s adventures and dramas.
  • D. Jayne Meadows
    Jayne Meadows was an American actress and television personality known for her work in film, stage, and early television, as well as for her frequent game show appearances.
  • E. Cheryl White
    Cheryl White is a supporting character in the sports drama film "McFarland, USA," depicted as part of the community surrounding the high school cross-country team.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d498b481908f82f31f98b57c7e completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32a5921c8819085a2188805b4811c completed April 6, 2026, 3:36 a.m.
Created at: March 30, 2026, 8:36 p.m.