Triple

T5881563
Position Surface form Disambiguated ID Type / Status
Subject Three Sisters E130759 entity
Predicate mainCharacter P1183 FINISHED
Object 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.
E553023 NE FINISHED

How this triple was built (4 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: [Three Sisters, mainCharacter, Natasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natasha
Context triple: [Three Sisters, mainCharacter, Natasha]
  • A. Natasha
    Natasha is a song by the South Korean girl group Wanna One, featured as part of their musical releases.
  • B. Natalia Sedova
    Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
  • C. Natalya
    Natalya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Latin name Natalia.
  • D. 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."
  • E. Natalia
    Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Natasha
Triple: [Three Sisters, mainCharacter, Natasha]
Generated description
Natasha is a central character in Anton Chekhov's play "Three Sisters," known for her social ascent and disruptive influence on the Prozorov family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Natasha
Target entity description: Natasha is a central character in Anton Chekhov's play "Three Sisters," known for her social ascent and disruptive influence on the Prozorov family.
  • A. Natasha
    Natasha is a song by the South Korean girl group Wanna One, featured as part of their musical releases.
  • B. Natalia Sedova
    Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
  • C. Natalya
    Natalya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Latin name Natalia.
  • D. 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."
  • E. Natalia
    Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
  • F. None of above. chosen

Provenance (5 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03635a41c819086f9a5df242777f2 completed March 22, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b13330c88190b10f33843f10f51f completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b2442bf881908aeaecb46463e32d completed March 23, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_69c0b2bc8b9c8190ab642d317056b1de completed March 23, 2026, 3:25 a.m.
Created at: March 22, 2026, 3:57 p.m.