Triple

T18549109
Position Surface form Disambiguated ID Type / Status
Subject Natalie Weinstein-Bacal E453320 entity
Predicate familyName P18 FINISHED
Object Weinstein 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: Weinstein | Statement: [Natalie Weinstein-Bacal, familyName, Weinstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weinstein
Context triple: [Natalie Weinstein-Bacal, 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. Howard Weinstein
    Howard Weinstein is a fictional character who serves as the quirky personal assistant to wedding planner Franck Eggelhoffer in the "Father of the Bride" films.
  • D. Max Weinstein
    Max Weinstein is an individual known primarily in relation to his spouse, Miriam Weinstein.
  • E. 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.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534beeb408190a03f6d7c3f2ef389 completed April 19, 2026, 8:02 p.m.
Created at: April 10, 2026, 11:38 a.m.