Triple
T20338240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antal |
E495670
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Antón |
—
|
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: Antón | Statement: [Antal, hasNameVariant, Antón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antón Context triple: [Antal, hasNameVariant, Antón]
-
A.
Antón
chosen
Antón is a town and district capital in central Panama known for its agricultural economy and proximity to natural attractions such as mountains and hot springs.
-
B.
Elicio
Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
-
C.
Amadeo
Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
-
D.
Amadeo
Amadeo is an Austrian record label known for releasing classical music recordings, including works by pianist Friedrich Gulda.
-
E.
Basilio
Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678332bd08190a83880fb6aa32e08 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:23 a.m.