Triple

T9913197
Position Surface form Disambiguated ID Type / Status
Subject Airport 1975 E185797 entity
Predicate starring P1507 FINISHED
Object Linda Blair E243104 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: Linda Blair | Statement: [Airport 1975, starring, Linda Blair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda Blair
Context triple: [Airport 1975, starring, Linda Blair]
  • A. Linda Blair chosen
    Linda Blair is an American actress best known for her iconic and chilling portrayal of the possessed child Regan MacNeil in the horror classic "The Exorcist."
  • B. Kathleen Quinlan
    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."
  • C. 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.
  • D. 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."
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53a300481909d917e487d8aab56 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dcbf28c8190aa9f6a8be423670a completed April 5, 2026, 7:22 a.m.
Created at: March 30, 2026, 8:41 p.m.