Triple

T10493861
Position Surface form Disambiguated ID Type / Status
Subject Sisters E247484 entity
Predicate hasCastMember P2308 FINISHED
Object Margot Kidder E288807 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: Margot Kidder | Statement: [Sisters, hasCastMember, Margot Kidder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margot Kidder
Context triple: [Sisters, hasCastMember, Margot Kidder]
  • A. Margot Kidder chosen
    Margot Kidder was a Canadian-American actress best known for playing Lois Lane in the Christopher Reeve Superman films of the 1970s and 1980s.
  • B. Susan Roop
    Susan Roop was the namesake of Susanville, California, likely a woman associated with the town’s founding or an important local pioneer family.
  • C. Lorraine Taylor
    Lorraine Taylor is known as a former spouse of musician and bandleader Ike Turner, associated with his early personal life and career period.
  • D. Lindsay Wagner
    Lindsay Wagner is an American actress best known for her Emmy-winning role as Jaime Sommers in the television series "The Bionic Woman."
  • E. Maud Adams
    Maud Adams is a Swedish actress best known for her roles as Bond girls in the James Bond films "The Man with the Golden Gun" and "Octopussy."
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097fe2bc81909d66ce43f3533284 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcaeb6088190829b6c26eb1de7d5 completed April 10, 2026, 11:19 a.m.
Created at: April 6, 2026, 12:24 p.m.