Triple

T23323988
Position Surface form Disambiguated ID Type / Status
Subject Bernard Berkman E591236 entity
Predicate child P120 FINISHED
Object Frank Berkman NE NERFINISHED

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 Berkman | Statement: [Bernard Berkman, child, Frank Berkman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Berkman
Context triple: [Bernard Berkman, child, Frank Berkman]
  • A. Frank Berkman chosen
    Frank Berkman is a young son in the film "The Squid and the Whale," whose emotional turmoil reflects the impact of his parents’ bitter divorce.
  • B. Bernard Berkman
    Bernard Berkman is a self-absorbed, egotistical Brooklyn writer and father whose failing marriage and intellectual posturing drive much of the family drama in the film "The Squid and the Whale."
  • C. Otto Berman
    Otto Berman was an American accountant and mob associate best known for his work with organized crime figures during the Prohibition era.
  • D. Ralph Berkowitz
    Ralph Berkowitz was an American pianist, accompanist, and arts administrator known for his influential work in classical music performance and education.
  • E. Jack N. Berkman
    Jack N. Berkman was a benefactor whose support and legacy are honored through the naming of the Berkman Klein Center for Internet & Society at Harvard University.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d1effe4819096907f95f610dbff completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19787ee90819083416193efaab20f completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:08 p.m.