Triple

T5402831
Position Surface form Disambiguated ID Type / Status
Subject Yul Brynner E120820 entity
Predicate alsoKnownAs P39 FINISHED
Object Yul Brynner E120820 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: Yul Brynner | Statement: [Yul Brynner, alsoKnownAs, Yul Brynner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yul Brynner
Context triple: [Yul Brynner, alsoKnownAs, Yul Brynner]
  • A. Yul Brynner chosen
    Yul Brynner was a Russian-born American actor best known for his charismatic, bald-headed performances in classic films and stage productions such as "The King and I."
  • B. Richard Powell
    Richard Powell is an architect best known as one of the founding partners of the acclaimed architecture firm Bohlin Cywinski Jackson.
  • C. Dan Hedaya
    Dan Hedaya is an American character actor known for his frequent portrayals of tough, often villainous or hard-edged supporting roles in film and television, including movies like "Clueless," "Blood Simple," and "The Hurricane."
  • D. Omar Sharif
    Omar Sharif was an acclaimed Egyptian actor known internationally for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
  • E. Charlton Heston
    Charlton Heston was an American actor renowned for his commanding screen presence and iconic roles in epic films such as "Ben-Hur," "The Ten Commandments," and "Planet of the Apes."
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87731c1c81909a4dc865282bd289 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3388c10481908235da34ef509d37 completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:04 p.m.