Triple

T8675437
Position Surface form Disambiguated ID Type / Status
Subject Isabella Vengerova E205900 entity
Predicate notableStudent P4838 FINISHED
Object Gary Graffman E213668 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: Gary Graffman | Statement: [Isabella Vengerova, notableStudent, Gary Graffman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Graffman
Context triple: [Isabella Vengerova, notableStudent, Gary Graffman]
  • A. Gary Graffman chosen
    Gary Graffman is an American classical pianist, renowned pedagogue, and former president of the Curtis Institute of Music who has taught many leading pianists of his generation.
  • B. Andrew Scheinman
    Andrew Scheinman is an American film and television producer and director best known for his work on popular comedies such as "When Harry Met Sally..." and his collaborations with Rob Reiner.
  • C. James Altman
    James Altman is the son of American lawyer and video game executive Robert A. Altman.
  • D. Craig Krampf
    Craig Krampf is an American drummer and percussionist best known for his session work with prominent rock and pop artists in the 1970s and 1980s.
  • E. Roger Birnbaum
    Roger Birnbaum is an American film producer and studio executive known for co-founding Spyglass Entertainment and producing numerous mainstream Hollywood films.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc49f54dfc8190b7a61e7ed1cfcbeb completed March 31, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3a008d48190bd0e58f615eda148 completed April 2, 2026, 10:54 p.m.
Created at: March 30, 2026, 6:32 p.m.