Triple

T13038126
Position Surface form Disambiguated ID Type / Status
Subject Miriam Weinstein E326616 entity
Predicate familyName P18 FINISHED
Object Weinstein E613903 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: Weinstein | Statement: [Miriam Weinstein, familyName, Weinstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weinstein
Context triple: [Miriam Weinstein, familyName, Weinstein]
  • A. Weinstein chosen
    Weinstein is a common Ashkenazi Jewish surname borne by numerous notable individuals across fields such as film, academia, and politics.
  • B. Weitz
    Weitz is a surname most prominently associated with American filmmakers Chris and Paul Weitz, known for movies such as "American Pie" and "About a Boy."
  • C. Harvey Weinstein
    Harvey Weinstein is a former Hollywood film producer and co-founder of Miramax who became infamous after being convicted of multiple sex crimes following widespread allegations that helped ignite the #MeToo movement.
  • D. Weinstein family
    The Weinstein family is a notable family associated with individuals such as Dashiell Weinstein, recognized for their public and professional prominence.
  • E. Bob Weinstein
    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.
  • 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.