Triple
T16824876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Sarmiento de Valladares |
E408992
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | José |
E406915
|
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: José | Statement: [José Sarmiento de Valladares, givenName, José]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: José Context triple: [José Sarmiento de Valladares, givenName, José]
-
A.
José
José is the given first name of Major League Baseball manager and former player Alex Cora.
-
B.
José
José is the given first name of former Major League Baseball player and coach Joey Cora.
-
C.
José
chosen
José is a common Spanish and Portuguese male given name, equivalent to Joseph in English.
-
D.
Enrique
Enrique is a noble and idealistic prince who joins the protagonist’s crew as a playable party member in the role-playing game Skies of Arcadia.
-
E.
Enrique
Enrique is a Spanish given name equivalent to the English name Henry.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b310ffec81908087e5aaacc4a7c2 |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c79cdf9c8190aa20d536ca17ab81 |
completed | May 10, 2026, 5:59 p.m. |
Created at: April 10, 2026, 5:23 a.m.