Triple

T17211897
Position Surface form Disambiguated ID Type / Status
Subject Natascha McElhone E417750 entity
Predicate givenName P17 FINISHED
Object Natasha E1189007 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: Natasha | Statement: [Natascha McElhone, givenName, Natasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natasha
Context triple: [Natascha McElhone, givenName, Natasha]
  • A. Natasha
    Natasha is a song by the South Korean girl group Wanna One, featured as part of their musical releases.
  • B. Natasha
    Natasha is a central character in Anton Chekhov's play "Three Sisters," known for her social ascent and disruptive influence on the Prozorov family.
  • C. Natasha chosen
    Natasha is a female given name of Slavic origin, commonly associated with the Russian diminutive of Natalia and used widely in many countries.
  • D. Наташа
    Наташа — одна из главных героинь пьесы Максима Горького «На дне», олицетворяющая трагическую судьбу бедной и угнетённой женщины в мире социального дна.
  • E. Natalia Sedova
    Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc68a2c81908564231853b40db9 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674fadc48190aa4a627ec9f72341 completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.