Triple

T8845504
Position Surface form Disambiguated ID Type / Status
Subject Chad Hayes E210493 entity
Predicate coWrote P7732 FINISHED
Object The Reaping E101696 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: The Reaping | Statement: [Chad Hayes, coWrote, The Reaping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Reaping
Context triple: [Chad Hayes, coWrote, The Reaping]
  • A. The Reaping chosen
    The Reaping is a 2007 supernatural horror film starring Hilary Swank as a former Christian missionary investigating a series of modern-day biblical plagues in a small Louisiana town.
  • B. The Hunger Games
    The Hunger Games is a popular dystopian science fiction franchise, best known as a young adult novel series by Suzanne Collins and its blockbuster film adaptations.
  • C. War of the Knives
    The War of the Knives was a brutal internal conflict during the Haitian Revolution in the late 1790s, primarily between rival Black leaders Toussaint Louverture and André Rigaud for control of Saint-Domingue.
  • D. Allegiant
    Allegiant is a 2016 science-fiction action film in the Divergent series, based on Veronica Roth’s novel, that continues the story of a dystopian, faction-based future society.
  • E. Katni
    Katni is an industrial city in central India known for its cement factories, railway junction, and marble and limestone mining.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60a6623c8190ba43545544f58633 completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa07ad12c81908de0502706ad4019 completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:48 p.m.