Triple
T10661580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natasha Caine |
E251238
|
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 Caine, givenName, Natasha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natasha Context triple: [Natasha Caine, 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.
Наташа
Наташа — одна из главных героинь пьесы Максима Горького «На дне», олицетворяющая трагическую судьбу бедной и угнетённой женщины в мире социального дна.
-
D.
Natalia Sedova
Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
-
E.
Natalya
chosen
Natalya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Latin name Natalia.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e018d1e881909b8e62682104e842 |
completed | April 8, 2026, 11:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9885dc17881909df20abedd9da5e3 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:08 p.m.