Triple

T11235890
Position Surface form Disambiguated ID Type / Status
Subject Lawn Dogs E265939 entity
Predicate castMember P1668 FINISHED
Object Kathleen Quinlan E77642 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: Kathleen Quinlan | Statement: [Lawn Dogs, castMember, Kathleen Quinlan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathleen Quinlan
Context triple: [Lawn Dogs, castMember, Kathleen Quinlan]
  • A. Kathleen Quinlan chosen
    Kathleen Quinlan is an American film and television actress best known for her Academy Award–nominated performance as Marilyn Lovell in the 1995 space drama "Apollo 13."
  • B. Patty Fenn
    Patty Fenn is a television producer and key character in the film "Money Monster," where she manages the chaotic live broadcast at the center of the story.
  • C. Deana Kiner
    Deana Kiner is a relative of American composer Kevin Kiner, known for his work on numerous film and television scores.
  • D. Thea Brody
    Thea Brody is a member of the Brody family, known primarily in relation to Michael Brody.
  • E. Sela Ward
    Sela Ward is an American actress known for her Emmy-winning performances in television dramas such as "Sisters" and "Once and Again."
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc5bcff08190830d09c9aa0187b2 completed April 19, 2026, 12:36 p.m.
Created at: April 8, 2026, 9:30 p.m.