Triple

T17182113
Position Surface form Disambiguated ID Type / Status
Subject Volker Schlöndorff E417008 entity
Predicate notableWork P4 FINISHED
Object Coup de Grâce E321856 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: Coup de Grâce | Statement: [Volker Schlöndorff, notableWork, Coup de Grâce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coup de Grâce
Context triple: [Volker Schlöndorff, notableWork, Coup de Grâce]
  • A. Die by the Sword
    Die by the Sword is a 1998 fantasy action-adventure video game known for its innovative, physics-based sword-fighting system that allowed precise control of weapon movements.
  • B. Last to Die
    Last to Die is a Magic: The Gathering card, likely a creature or spell, associated with the Magic game universe.
  • C. Last to Die
    "Last to Die" is a crime thriller novel by Tess Gerritsen featuring medical examiner Maura Isles and detective Jane Rizzoli as they investigate a series of murders linked to a group of traumatized orphans.
  • D. To the Death
    "To the Death" is the hard-hitting debut studio album by Brooklyn hip hop duo M.O.P., known for its aggressive street-oriented sound and raw lyrical style.
  • E. L’Assaut chosen
    L’Assaut is a French film best known for featuring actress Rachida Brakni in a prominent role.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d934ec08190acc47073758ac3c0 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a014847a19481909b1249c2fe428bfc completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.