Triple
T15583020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khan Asparuh of Bulgaria |
E374546
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Esperih |
E515529
|
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: Esperih | Statement: [Khan Asparuh of Bulgaria, alsoKnownAs, Esperih]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esperih Context triple: [Khan Asparuh of Bulgaria, alsoKnownAs, Esperih]
-
A.
Esperih
chosen
Esperih is another name for Asparuh of Bulgaria, the 7th-century Bulgar ruler who founded the First Bulgarian Empire in the Balkans.
-
B.
Hesperos
Hesperos is the ancient Greek personification of the evening star, typically associated with the planet Venus as seen at dusk.
-
C.
Hespere
Hespere is one of the Hesperides, the nymphs of Greek mythology who tended the blissful garden in the far west that contained the golden apples.
-
D.
Esperança
Esperança is a Brazilian telenovela in which actress Giselle Itié gained prominence for one of her most recognized roles.
-
E.
Erakor
Erakor is a small island and settlement near Efate in Vanuatu, known for its lagoon setting and traditional village life.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e47971481909e986dd999354628 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4f71e48190a15eb0a2138f083f |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:11 a.m.