Triple

T1093381
Position Surface form Disambiguated ID Type / Status
Subject Ziegfeld Girl E24216 entity
Predicate castMember P1668 FINISHED
Object Charles Winninger E223306 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: Charles Winninger | Statement: [Ziegfeld Girl, castMember, Charles Winninger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Winninger
Context triple: [Ziegfeld Girl, castMember, Charles Winninger]
  • A. Charles Winninger chosen
    Charles Winninger was an American character actor best known for his comedic and paternal roles in early 20th-century stage and Hollywood films.
  • B. Eric Wetzels
    Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
  • C. Victor Grinich
    Victor Grinich was an American electrical engineer and entrepreneur best known as one of the Traitorous Eight who co-founded Fairchild Semiconductor, helping launch Silicon Valley’s semiconductor industry.
  • D. Michael Schaefer
    Michael Schaefer is a film and television producer known for his executive production work on projects such as the series "Swarm."
  • E. Stephen Endlicher
    Stephen Endlicher was a 19th-century Austrian botanist and linguist known for his influential work in plant taxonomy and classification.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b99bd06c8190bce1d77b0337b07c completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fa73fe8819097bcd6c07793bc52 completed March 9, 2026, 1:17 a.m.
Created at: March 1, 2026, 7:42 p.m.