Triple

T11685496
Position Surface form Disambiguated ID Type / Status
Subject Carrie Lane E277728 entity
Predicate givenName P17 FINISHED
Object Carrie E252245 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 | Statement: [Carrie Lane, givenName, Carrie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrie
Context triple: [Carrie Lane, givenName, Carrie]
  • A. 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."
  • B. Carrie chosen
    Carrie is a feminine given name commonly used in English-speaking countries, often as a diminutive of Caroline or Carol.
  • C. Carrie
    "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. Misery
    Misery is the first major section of the Heidelberg Catechism, focusing on humanity’s sinfulness and need for redemption.
  • E. Misery
    "Misery" is a song by the Beatles, written primarily by John Lennon with contributions from Paul McCartney, and released on their 1963 debut album "Please Please Me."
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1433be908190b2ac887655a6c85a completed April 27, 2026, 7:45 a.m.
Created at: April 8, 2026, 9:40 p.m.