Triple

T5444580
Position Surface form Disambiguated ID Type / Status
Subject Brenda Siemer Scheider E122215 entity
Predicate hasNotableSpouse P13 FINISHED
Object Roy Scheider E21481 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: Roy Scheider | Statement: [Brenda Siemer Scheider, hasNotableSpouse, Roy Scheider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roy Scheider
Context triple: [Brenda Siemer Scheider, hasNotableSpouse, Roy Scheider]
  • A. Roy Scheider chosen
    Roy Scheider was an American actor best known for his intense, everyman performances in films such as "The French Connection," "All That Jazz," and "Jaws."
  • B. James Caan
    James Caan was an American actor best known for his intense, charismatic performances in films such as "The Godfather," "Misery," and "Brian's Song."
  • C. Ned Beatty
    Ned Beatty was an acclaimed American character actor known for his powerful supporting roles in films such as "Deliverance," "Network," and "Superman."
  • D. Richard Dreyfuss
    Richard Dreyfuss is an American actor known for his energetic, often neurotic characters in films of the 1970s and 1980s, including an Academy Award–winning performance in "The Goodbye Girl."
  • E. Elliott Gould
    Elliott Gould is an American actor known for his roles in films such as "M*A*S*H," "Bob & Carol & Ted & Alice," and the "Ocean's Eleven" series.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ce3e4081908e11a731416c0378 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfd7104f008190b2bcacc8d071277c completed March 22, 2026, 11:48 a.m.
Created at: March 20, 2026, 2:07 p.m.