Triple
T9127633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nataša Kandić |
E219004
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nataša |
E779206
|
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: Nataša | Statement: [Nataša Kandić, givenName, Nataša]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nataša Context triple: [Nataša Kandić, givenName, Nataša]
-
A.
Наташа
chosen
Наташа — одна из главных героинь пьесы Максима Горького «На дне», олицетворяющая трагическую судьбу бедной и угнетённой женщины в мире социального дна.
-
B.
Rositsa
Rositsa is a river in northern Bulgaria that serves as a significant tributary of the Yantra River.
-
C.
Tatyana
Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
-
D.
Aloysya
Aloysya is a given name, typically a feminine variant of Aloysius, used in various cultures and languages.
-
E.
Emilia Slabunova
Emilia Slabunova is a Russian liberal politician who has served as a prominent leader of the Yabloko party and an advocate for democratic reforms and human rights in Russia.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8cad9c0819082d61f53865ef0b4 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047cf8f408190bfffadb803cb4513 |
completed | April 3, 2026, 11:05 p.m. |
Created at: March 30, 2026, 7:18 p.m.