Triple

T16386112
Position Surface form Disambiguated ID Type / Status
Subject Rebecca Yeldham E397925 entity
Predicate hasWorkedWith P9615 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: [Rebecca Yeldham, hasWorkedWith, Sam Raimi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Raimi
Context triple: [Rebecca Yeldham, hasWorkedWith, 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. Raimi
    Raimi is a surname most notably associated with American filmmaker Sam Raimi and his family, known for their contributions to horror and superhero cinema.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263d260081909db9ac6016d5738a completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356cf44081909133b599cfe9ed4a completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.