Triple
T16487162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilya Kabakov |
E400475
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kabakov |
E400475
|
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: Kabakov | Statement: [Ilya Kabakov, familyName, Kabakov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabakov Context triple: [Ilya Kabakov, familyName, Kabakov]
-
A.
Kazansky
Kazansky refers to Tom "Iceman" Kazansky, the elite U.S. Navy fighter pilot character from the "Top Gun" film series.
-
B.
Totleben
Totleben is a German-origin surname most notably associated with Eduard Totleben, a prominent 19th-century Russian military engineer and general.
-
C.
Tartakovsky
Tartakovsky is a surname most prominently associated with Genndy Tartakovsky, the acclaimed animator and creator of series like Dexter’s Laboratory, Samurai Jack, and Primal.
-
D.
Batitsky
Batitsky is a Russian surname most notably associated with Soviet military commander Pavel Batitsky.
-
E.
Ilya Kabakov
chosen
Ilya Kabakov was a pioneering Russian-American conceptual artist best known for his large-scale, narrative-driven installations that explore Soviet life, memory, and utopian ideals.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e078d0c8190a5698a5eb9df22d4 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582275308190a0fb3944d74916cf |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:13 a.m.