Triple

T4567647
Position Surface form Disambiguated ID Type / Status
Subject The Amityville Horror E121947 entity
Predicate stars P1956 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: [The Amityville Horror, stars, Margot Kidder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margot Kidder
Context triple: [The Amityville Horror, stars, 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. 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.
  • C. 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."
  • D. Lynda Carter
    Lynda Carter is an American actress, singer, and beauty pageant titleholder best known for portraying the iconic title character in the 1970s television series "Wonder Woman."
  • E. Grace Van Patten
    Grace Van Patten is an American actress known for her nuanced performances in independent films and television series, including notable roles in projects like "The Meyerowitz Stories" and "Nine Perfect Strangers."
  • 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd589faccc8190ac0354644099810d completed March 20, 2026, 2:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3bf54448190a7e65cee1a5c48e3 completed March 20, 2026, 11:09 p.m.
Created at: March 20, 2026, 1:09 p.m.