Triple
T20933782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kubrat |
E515531
|
entity |
| Predicate | son |
P25213
|
FINISHED |
| Object | Alcek |
—
|
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: Alcek | Statement: [Kubrat, son, Alcek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alcek Context triple: [Kubrat, son, Alcek]
-
A.
Alecko
Alecko is a male given name most notably associated with former American soccer player Alecko Eskandarian.
-
B.
Altsek
chosen
Altsek was a 7th-century Bulgar leader, traditionally regarded as a relative of Khan Asparuh, who led a Bulgar group into settlement in the Italian Peninsula.
-
C.
Arkel
Arkel is a small town in the Dutch province of South Holland, known for its historic village character and location near the river Linge.
-
D.
Arkel
Arkel is the elderly, blind King of Allemonde in Claude Debussy’s opera "Pelléas et Mélisande," embodying wisdom and tragic resignation amid the drama’s unfolding passions.
-
E.
Akaki
Akaki is a Georgian masculine given name most notably borne by the prominent 19th-century poet and national figure Akaki Tsereteli.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f94fc194819099df82357a7f33c7 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:49 p.m.