Triple

T5043057
Position Surface form Disambiguated ID Type / Status
Subject King of the Gypsies E113591 entity
Predicate director P255 FINISHED
Object Frank Pierson E247956 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: Frank Pierson | Statement: [King of the Gypsies, director, Frank Pierson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Pierson
Context triple: [King of the Gypsies, director, Frank Pierson]
  • A. Frank Pierson chosen
    Frank Pierson was an American screenwriter and director best known for his Oscar-winning work on films such as "Dog Day Afternoon" and "Cool Hand Luke."
  • B. Ken Hughes
    Ken Hughes was a British film director and screenwriter best known for directing the 1968 musical fantasy film "Chitty Chitty Bang Bang."
  • C. Paul Hirsch
    Paul Hirsch is an American film editor renowned for his work on major Hollywood films, including the original Star Wars.
  • D. Tony Bill
    Tony Bill is an American film producer, director, and actor best known for producing the Oscar-winning film "The Sting" and directing movies such as "My Bodyguard."
  • E. Sam Wood
    Sam Wood was an American film director best known for his work during Hollywood’s Golden Age, including classics such as "A Night at the Opera," "Goodbye, Mr. Chips," and "The Pride of the Yankees."
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73df8f7481909a8b86c4ae69aab9 completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea47c5f808190821d7f708003a07d completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:37 p.m.