Triple

T3365046
Position Surface form Disambiguated ID Type / Status
Subject Amy Irving E70814 entity
Predicate portrayedIn P626 FINISHED
Object Carrie (1976 film) E22626 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: Carrie (1976 film) | Statement: [Amy Irving, portrayedIn, Carrie (1976 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrie (1976 film)
Context triple: [Amy Irving, portrayedIn, Carrie (1976 film)]
  • A. Carrie chosen
    "Carrie" is Stephen King's debut horror novel, centered on a bullied teenage girl with telekinetic powers who exacts a devastating revenge on her tormentors.
  • B. Carrie
    Carrie is the charming and enigmatic American woman who becomes the central love interest in the British romantic comedy film "Four Weddings and a Funeral."
  • C. Carrie
    Carrie is a feminine given name commonly used in English-speaking countries, often as a diminutive of Caroline or Carol.
  • D. Night Trap
    Night Trap is a controversial 1992 interactive movie horror video game known for its full-motion video gameplay and its central role in early 1990s debates over video game violence and content regulation.
  • E. Pet Sematary
    Pet Sematary is a horror novel by Stephen King about a burial ground with the power to resurrect the dead, leading to terrifying consequences for a grieving family.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb28643f48190b78b0222f8323344 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b334332ce88190b898894286c166c2 completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.