Triple

T9233768
Position Surface form Disambiguated ID Type / Status
Subject Jean Seberg E221884 entity
Predicate spouse P13 FINISHED
Object Dennis Berry E752300 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: Dennis Berry | Statement: [Jean Seberg, spouse, Dennis Berry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dennis Berry
Context triple: [Jean Seberg, spouse, Dennis Berry]
  • A. Dennis Berry chosen
    Dennis Berry was an American-born French film director and actor known for his work in European cinema and his marriage to iconic actress Anna Karina.
  • B. Brian O. Hemphill
    Brian O. Hemphill is an American academic administrator and higher education leader known for serving as president of multiple universities, including Old Dominion University.
  • C. Brian Beattie
    Brian Beattie is an American musician, producer, and arranger known for his inventive orchestral and studio work with indie and alternative artists.
  • D. John DeSalvo
    John DeSalvo was an individual notable enough to be recognized among the distinguished burials at Holy Cross Cemetery in Brooklyn, New York.
  • E. Dennis Awtrey
    Dennis Awtrey is a former American professional basketball center known for his defensive play and role as a key contributor on several NBA teams during the 1970s and early 1980s.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee1baa3c8190870d1e850ccab1e0 completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d152586ca08190854463dfdd1f727c completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 7:29 p.m.