Triple

T13049668
Position Surface form Disambiguated ID Type / Status
Subject Peter MacDonald E327416 entity
Predicate workedOn P3 FINISHED
Object Spectre E50720 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: Spectre | Statement: [Peter MacDonald, workedOn, Spectre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spectre
Context triple: [Peter MacDonald, workedOn, Spectre]
  • A. 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.
  • 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 chosen
    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. SpectreVision
    SpectreVision is a film production company known for producing distinctive, often surreal horror and genre movies.
  • E. Skyfall
    Skyfall is the 2012 James Bond film starring Daniel Craig, renowned for its darker tone, striking cinematography, and the hit title song performed by Adele.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbda9b548190a10a4835b2c75fdc completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:57 p.m.