Triple
T19201952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tigran Avinyan |
E470129
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tigran Avinyan |
—
|
NE NERFINISHED |
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: Tigran Avinyan | Statement: [Tigran Avinyan, name, Tigran Avinyan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tigran Avinyan Context triple: [Tigran Avinyan, name, Tigran Avinyan]
-
A.
Tigran Avinyan
chosen
Tigran Avinyan is an Armenian politician and public official known for his leadership roles in the government and in the administration of the capital city, Yerevan.
-
B.
Armen Dzhigarkhanyan
Armen Dzhigarkhanyan was a renowned Soviet and Armenian actor celebrated for his prolific film and theater career and distinctive character roles.
-
C.
Ovanes Hakhverdyan
Ovanes Hakhverdyan was an Armenian military commander who played a leading role in the Turkish–Armenian War of 1920.
-
D.
Armen Rustamyan
Armen Rustamyan is an Armenian politician best known as a prominent leader and long-serving representative of the Armenian Revolutionary Federation party.
-
E.
Sergo Chakhoyan
Sergo Chakhoyan is an Armenian-born former weightlifter who competed internationally for both Armenia and later Austria, earning multiple European Championship medals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f9991ba48190ab92805daec3877b |
completed | April 20, 2026, 10:02 a.m. |
Created at: April 10, 2026, 12:07 p.m.