Triple

T16105597
Position Surface form Disambiguated ID Type / Status
Subject Charley Butts E390729 entity
Predicate workDirector P32895 FINISHED
Object Don Siegel E102695 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: Don Siegel | Statement: [Charley Butts, workDirector, Don Siegel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Siegel
Context triple: [Charley Butts, workDirector, Don Siegel]
  • A. Don Siegel chosen
    Don Siegel was an American film director best known for his taut, hard-edged action and crime dramas, including classics like "Dirty Harry" and "Invasion of the Body Snatchers."
  • B. Anthony Mann
    Anthony Mann was an American film director best known for his psychologically complex film noirs and influential 1950s Westerns.
  • C. James Nava
    James Nava is a character in the crime drama series "Shades of Blue," involved in the show's complex world of law enforcement and corruption.
  • D. George Aldrich
    George Aldrich is a NASA contamination control specialist known for his long career testing materials for off-gassing to ensure astronaut safety on space missions.
  • E. John Sturges
    John Sturges was an American film director best known for his classic action and Western films, including "The Great Escape" and "Bad Day at Black Rock."
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6b91a48190a04648d4cad2c4b1 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2a16acc8190be9ed181c7a44def completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5 a.m.