Triple

T6139921
Position Surface form Disambiguated ID Type / Status
Subject Freaky Friday (1995 film) E136934 entity
Predicate leadActor P1507 FINISHED
Object Shelley Long E326155 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: Shelley Long | Statement: [Freaky Friday (1995 film), leadActor, Shelley Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shelley Long
Context triple: [Freaky Friday (1995 film), leadActor, Shelley Long]
  • A. Shelley Long chosen
    Shelley Long is an American actress best known for her Emmy-winning role as Diane Chambers on the television sitcom "Cheers."
  • B. Lisa Crouse
    Lisa Crouse is a relative of Nico Blue Hoon, the daughter of late Blind Melon frontman Shannon Hoon.
  • C. Mary Lynn Rajskub
    Mary Lynn Rajskub is an American actress and comedian best known for her role as Chloe O'Brian on the television series "24."
  • D. Courteney Cox
    Courteney Cox is an American actress best known for playing Monica Geller on the hit television sitcom "Friends."
  • E. Kirstie Alley
    Kirstie Alley was an American actress best known for her Emmy-winning role as Rebecca Howe on the hit sitcom "Cheers" and for her work in films like "Look Who's Talking."
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb030fc8190b78e4967eea65611 completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3c26a9c8190a7dfbe0895461d3b completed March 27, 2026, 1:56 a.m.
Created at: March 22, 2026, 4:15 p.m.