Triple

T21134672
Position Surface form Disambiguated ID Type / Status
Subject The Taking of Pelham One Two Three (1998 film) E520784 entity
Predicate starredActor P5563 FINISHED
Object Lisa Vidal 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: Lisa Vidal | Statement: [The Taking of Pelham One Two Three (1998 film), starredActor, Lisa Vidal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisa Vidal
Context triple: [The Taking of Pelham One Two Three (1998 film), starredActor, Lisa Vidal]
  • A. Lisa Vidal chosen
    Lisa Vidal is an American actress known for her work in television dramas and films, including prominent roles in series like "The Division," "ER," and "Being Mary Jane."
  • B. Vickie Castro
    Vickie Castro is a Chicana activist and educator known for her leadership role in the 1968 East Los Angeles student walkouts for educational reform.
  • C. Marian Quinn
    Marian Quinn is an Irish filmmaker and actress known for writing and directing the independent film "32A."
  • D. Emily Sullivan
    Emily Sullivan is a fictional character from the science fiction television series "Jericho," portrayed by actress Ashley Scott.
  • E. Martine Bartlett
    Martine Bartlett was an American character actress known for her intense and often emotionally complex roles in film and television during the mid-20th century.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723592fd48190ba5977a1b229d51e completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:56 p.m.