Triple

T5649781
Position Surface form Disambiguated ID Type / Status
Subject Georgina Chapman E124473 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: [Georgina Chapman, hasChild, Dashiell Weinstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dashiell Weinstein
Context triple: [Georgina Chapman, 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. Charles Klein
    Charles Klein was a prominent early 20th-century American playwright best known for his successful Broadway dramas and melodramas.
  • D. 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.
  • E. Charles Weiss
    Charles Weiss is a relatively obscure individual whose specific public significance is not clearly established from the available information.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d2ed648190a5152c8668cbda02 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07db3f0448190bfcb66f5af5dbf99 completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:42 p.m.