Triple

T8996104
Position Surface form Disambiguated ID Type / Status
Subject Blood and Sand E214915 entity
Predicate hasArtDirector P48729 FINISHED
Object Edward Snyder E214915 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: Edward Snyder | Statement: [Blood and Sand, hasArtDirector, Edward Snyder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Snyder
Context triple: [Blood and Sand, hasArtDirector, Edward Snyder]
  • A. Edward Snyder chosen
    Edward Snyder was a film art director active in early American cinema, known for his work on silent-era productions such as the 1922 film "Blood and Sand."
  • B. Paul Snyder
    Paul Snyder is an American businessman best known for owning the NBA’s Buffalo Braves franchise in the 1970s.
  • C. Andrew Meyer
    Andrew Meyer is a fictional character in the television series "Veep," known as the ex-husband of main character Selina Meyer and the father of her daughter Catherine.
  • D. Alan E. Nourse
    Alan E. Nourse was an American science fiction author and physician known for works that often explored medical and social themes, including the novel "The Bladerunner."
  • E. Douglas L. Meyer
    Douglas L. Meyer is a theatrical producer best known for his work on the hit 2001 Broadway musical "The Producers."
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68df33c48190a5017426e59c0bc4 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01755d26c819084c6b4967550842e completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:04 p.m.