Triple
T16744542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José |
E406915
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | José María (compound name) |
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 María (compound name) | Statement: [José, hasVariant, José María (compound name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: José María (compound name) Context triple: [José, hasVariant, José María (compound name)]
-
A.
José
José is the given first name of former Major League Baseball player and coach Joey Cora.
-
B.
José
chosen
José is a common Spanish and Portuguese male given name, equivalent to Joseph in English.
-
C.
José
José is the given first name of Major League Baseball manager and former player Alex Cora.
-
D.
Jiménez
Jiménez is a rural municipality in Costa Rica known for its agricultural activities and location within Cartago Province.
-
E.
Martínez
Martínez is a common Spanish-language surname widely borne across Spain and Latin America.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa210ef88190be74bd60d7144953 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a51e69c08190a5bff74823df430c |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.