Triple
T3555252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vagarshak Ter-Vaganyan |
E75203
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Vagarshak |
E368513
|
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: Vagarshak | Statement: [Vagarshak Ter-Vaganyan, givenName, Vagarshak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vagarshak Context triple: [Vagarshak Ter-Vaganyan, givenName, Vagarshak]
-
A.
Vánagandr
Vánagandr is an alternate name for Fenrir, the monstrous wolf of Norse mythology prophesied to kill Odin during Ragnarök.
-
B.
Vostanik
Vostanik is the birth name of Arshile Gorky, the influential Armenian-American painter associated with Abstract Expressionism.
-
C.
Akrosh
Akrosh is an Indian film best known as a hard-hitting social drama written by acclaimed playwright and screenwriter Vijay Tendulkar.
-
D.
Gavar
Gavar is a town in Armenia that serves as a regional center near Lake Sevan in the Gegharkunik Province.
-
E.
Ter-Vaganyan
chosen
Ter-Vaganyan is an Armenian surname most notably associated with Vagarshak Ter-Vaganyan, a Soviet Armenian politician and Old Bolshevik who was a victim of the Great Purge.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0569fbc81909b855b6990c1415b |
completed | March 8, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb95bcc88190abf1ea2efc30faeb |
completed | March 13, 2026, 7:24 a.m. |
Created at: March 8, 2026, 3:20 p.m.