Triple

T3644699
Position Surface form Disambiguated ID Type / Status
Subject David Benioff E77269 entity
Predicate pseudonym P39 FINISHED
Object David Benioff E12178 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: David Benioff | Statement: [David Benioff, pseudonym, David Benioff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Benioff
Context triple: [David Benioff, pseudonym, David Benioff]
  • A. David Benioff chosen
    David Benioff is an American writer, producer, and showrunner best known as the co-creator of the television series "Game of Thrones."
  • B. Victor Benioff
    Victor Benioff was an American seismologist and physicist best known for his pioneering work on deep-focus earthquakes and the development of highly sensitive seismographs.
  • C. D. B. Weiss
    D. B. Weiss is an American television writer, producer, and director best known as the co-creator and showrunner of the HBO fantasy series "Game of Thrones."
  • D. Lynne Benioff
    Lynne Benioff is an American philanthropist and civic leader known for her work in healthcare, education, and community initiatives, often in partnership with her husband, Salesforce CEO Marc Benioff.
  • E. Bryan Fuller
    Bryan Fuller is an American television writer and producer best known for creating visually distinctive, darkly comedic series such as Hannibal, Pushing Daisies, and Dead Like Me.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35c28908190b253f4835918a2b4 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd568effac81908bc52b5240e47c8c completed March 20, 2026, 2:15 p.m.
Created at: March 8, 2026, 3:24 p.m.