Triple

T12685620
Position Surface form Disambiguated ID Type / Status
Subject Warm Bodies E303058 entity
Predicate basedOn P98 FINISHED
Object Warm Bodies (novel) E303058 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: Warm Bodies (novel) | Statement: [Warm Bodies, basedOn, Warm Bodies (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warm Bodies (novel)
Context triple: [Warm Bodies, basedOn, Warm Bodies (novel)]
  • A. Warm Bodies chosen
    Warm Bodies is a 2013 romantic zombie comedy film that blends horror and humor as it follows an unusual relationship between a zombie and a human girl in a post-apocalyptic world.
  • B. The Body
    The Body is an experimental metal duo from the United States known for their crushingly heavy sound, genre-blurring collaborations, and bleak, noise-infused approach to doom and sludge metal.
  • C. The Body
    "The Body" is a coming-of-age novella by Stephen King, best known as the basis for the 1986 film "Stand by Me."
  • D. Bodies Are Where You Find Them
    Bodies Are Where You Find Them is a 1941 hardboiled detective novel by Brett Halliday featuring private eye Michael Shayne, later loosely adapted into the film Kiss Kiss Bang Bang.
  • E. Love and Monsters
    Love and Monsters is a post-apocalyptic adventure-comedy film in which a young man braves a monster-infested world to reunite with his girlfriend.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d7cd4c81909521839ef5859799 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a8f068819086e2191439607f76 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.