Triple

T13038108
Position Surface form Disambiguated ID Type / Status
Subject Miriam Weinstein E326616 entity
Predicate child P120 FINISHED
Object Bob Weinstein E140004 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: Bob Weinstein | Statement: [Miriam Weinstein, child, Bob Weinstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Weinstein
Context triple: [Miriam Weinstein, child, Bob Weinstein]
  • A. Bob Weinstein chosen
    Bob Weinstein is an American film producer and co-founder of Miramax Films and Dimension Films, known for producing numerous influential genre and independent movies.
  • B. Rob Wasserman
    Rob Wasserman was an American Grammy-winning bassist and composer known for his innovative solo work and collaborations with artists such as Bob Weir, Lou Reed, and Elvis Costello.
  • C. Lee Weiner
    Lee Weiner is an American political activist best known as one of the Chicago Seven defendants charged with conspiracy and inciting riots during the 1968 Democratic National Convention protests.
  • D. Alexander Weinstein
    Alexander Weinstein is the husband of American screenwriter and actress Jenny Lumet.
  • E. Robert Weinbach
    Robert Weinbach is a film producer known for his work on independent genre movies, including the 2012 horror film "Shiver."
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804b743c8190810dc5c14bc6d912 completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd12eec81908ad5dae638c2210e completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:55 p.m.