Triple

T3614326
Position Surface form Disambiguated ID Type / Status
Subject Frances McDormand E76562 entity
Predicate notableWork P4 FINISHED
Object Burn After Reading E285423 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: Burn After Reading | Statement: [Frances McDormand, notableWork, Burn After Reading]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burn After Reading
Context triple: [Frances McDormand, notableWork, Burn After Reading]
  • A. Burn After Reading chosen
    Burn After Reading is a 2008 dark comedy film by Joel and Ethan Coen that satirizes espionage and modern American paranoia through an ensemble cast including George Clooney, Brad Pitt, and Frances McDormand.
  • B. Aftermath
    Aftermath is a 1966 studio album by the Rolling Stones that marked a major artistic leap for the band, featuring all-original compositions and incorporating diverse musical styles.
  • C. Through the Fire
    "Through the Fire" is a 1984 soulful R&B ballad by Chaka Khan, renowned for its powerful vocals and enduring popularity as one of her signature songs.
  • D. Burnt
    Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
  • E. The Burning
    The Burning is a 1981 American slasher film, notable for its summer-camp setting and early special effects work by makeup artist Tom Savini.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc279f6948190b9655a4cf3e77d89 completed March 8, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b433184a4081908598f4084e959c2e completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.