Triple

T9090758
Position Surface form Disambiguated ID Type / Status
Subject Natasha Shneider E217875 entity
Predicate givenName P17 FINISHED
Object Natasha E281523 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: [Natasha Shneider, givenName, Natasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natasha
Context triple: [Natasha Shneider, 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. Natalia Sedova
    Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
  • D. Natalya chosen
    Natalya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Latin name Natalia.
  • E. Tatiana Romanova
    Tatiana Romanova is a Soviet cipher clerk and key Bond girl who becomes entangled with James Bond in the espionage plot of Ian Fleming’s novel and its film adaptation "From Russia with Love."
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965b73848190af309cd7d2f14066 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017ecc8b4819094dc0b009484ec00 completed April 3, 2026, 7:41 p.m.
Created at: March 30, 2026, 7:14 p.m.