Triple

T4292335
Position Surface form Disambiguated ID Type / Status
Subject Spartacus: Blood and Sand E99623 entity
Predicate executiveProducer P7225 FINISHED
Object Sam Raimi E82981 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: Sam Raimi | Statement: [Spartacus: Blood and Sand, executiveProducer, Sam Raimi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Raimi
Context triple: [Spartacus: Blood and Sand, executiveProducer, Sam Raimi]
  • A. Sam Raimi chosen
    Sam Raimi is an American filmmaker best known for directing the original Spider-Man trilogy and creating the cult-favorite Evil Dead horror series.
  • B. Lorne Raimi
    Lorne Raimi is one of the children of American filmmaker Sam Raimi.
  • C. Ivan Raimi
    Ivan Raimi is an American physician and screenwriter best known for co-writing several films and projects with his brother, director Sam Raimi.
  • D. Ted Raimi
    Ted Raimi is an American character actor and director known for his roles in cult horror and fantasy projects such as the Evil Dead series and the TV show Xena: Warrior Princess.
  • E. Jon Spaihts
    Jon Spaihts is an American screenwriter and producer best known for his work on major science fiction and blockbuster films such as "Prometheus," "Doctor Strange," and "Dune."
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3508035a08190b752c8edce0aff86 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d06fc60c8190a21fdfed689dac53 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:08 p.m.