Triple

T11049738
Position Surface form Disambiguated ID Type / Status
Subject Cooties E261213 entity
Predicate productionCompany P490 FINISHED
Object SpectreVision E261216 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: SpectreVision | Statement: [Cooties, productionCompany, SpectreVision]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SpectreVision
Context triple: [Cooties, productionCompany, SpectreVision]
  • A. SpectreVision chosen
    SpectreVision is a film production company known for producing distinctive, often surreal horror and genre movies.
  • B. Spectre
    Spectre is the nickname of a heavily armed variant of the Lockheed AC-130 gunship used by the U.S. Air Force for close air support, air interdiction, and force protection.
  • C. Spectre
    Spectre is the 2015 James Bond spy film directed by Sam Mendes and starring Daniel Craig as 007, featuring the iconic criminal organization of the same name.
  • D. Spectre
    Spectre is a powerful supernatural DC Comics character who serves as the embodiment of divine vengeance, often depicted as one of the most formidable members of the Justice Society of America.
  • E. The Spectre
    The Spectre is a powerful DC Comics supernatural entity who serves as the near-omnipotent embodiment of divine vengeance and wrath.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa06bae08190a0db615a258ded29 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.