Triple

T10322373
Position Surface form Disambiguated ID Type / Status
Subject Andrew Dominik E242665 entity
Predicate collaboratedWith P435 FINISHED
Object Warren Ellis E242668 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: Warren Ellis | Statement: [Andrew Dominik, collaboratedWith, Warren Ellis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warren Ellis
Context triple: [Andrew Dominik, collaboratedWith, Warren Ellis]
  • A. Warren Ellis chosen
    Warren Ellis is an Australian musician and composer best known for his work with Nick Cave and the Bad Seeds and for scoring numerous acclaimed films.
  • B. Warren Ellis
    Warren Ellis is a British comic book writer and novelist renowned for influential works like "Transmetropolitan," "Planetary," and numerous groundbreaking series for major publishers.
  • C. Bill Willingham
    Bill Willingham is an American comic book writer and artist best known as the creator of the acclaimed fantasy series "Fables."
  • D. Steve Niles
    Steve Niles is an American comic book writer and novelist best known for his influential horror work, including co-creating the vampire series "30 Days of Night."
  • E. Garth Ennis
    Garth Ennis is a Northern Irish comic book writer best known for his darkly humorous, violent, and character-driven work on series such as Preacher, Hellblazer, and The Boys.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cce38c8190bfa0f2fb53ed0065 completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d9b2ad881909f3076f8f9d1b1d3 completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:50 a.m.