Triple

T15618658
Position Surface form Disambiguated ID Type / Status
Subject Chamberlain, Maine E375485 entity
Predicate appearsInWork P795 FINISHED
Object Carrie (1974 novel) 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 (1974 novel) | Statement: [Chamberlain, Maine, appearsInWork, Carrie (1974 novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrie (1974 novel)
Context triple: [Chamberlain, Maine, appearsInWork, Carrie (1974 novel)]
  • A. Carrie
    Carrie is a feminine given name commonly used in English-speaking countries, often as a diminutive of Caroline or Carol.
  • 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 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.
  • D. Carrie (2013 film)
    Carrie (2013 film) is a modern horror remake of Stephen King’s classic story about a bullied teenage girl with telekinetic powers that culminate in a violent prom-night catastrophe.
  • E. Salem's Lot
    Salem's Lot is a horror novel by Stephen King about a small town slowly overtaken by vampires.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3b643c819093230df6cfe440b9 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:13 a.m.