Triple

T9082093
Position Surface form Disambiguated ID Type / Status
Subject Harvey Weinstein E217653 entity
Predicate hasChild P369 FINISHED
Object Dashiell Weinstein E217653 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: Dashiell Weinstein | Statement: [Harvey Weinstein, hasChild, Dashiell Weinstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dashiell Weinstein
Context triple: [Harvey Weinstein, hasChild, Dashiell Weinstein]
  • A. Dashiell Weinstein chosen
    Dashiell Weinstein is one of the children of disgraced film producer Harvey Weinstein.
  • B. Samuel Diescher
    Samuel Diescher was a prominent 19th-century civil and mechanical engineer known for designing several American inclines and industrial structures, particularly in Pittsburgh.
  • C. Benjy Eisen
    Benjy Eisen is a music journalist and author best known for co-writing memoirs with Grateful Dead drummer Bill Kreutzmann.
  • D. Charles Klein
    Charles Klein was a prominent early 20th-century American playwright best known for his successful Broadway dramas and melodramas.
  • E. Arthur Klein
    Arthur Klein was the husband of pioneering psychoanalyst Melanie Klein, known primarily in relation to her life and work.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9608a82481908918821884ba5796 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe30093481908b3ec394cf585642 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.