Triple
T4732722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enrico |
E105049
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Enrico (Spanish form: Enrique) |
E299519
|
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: Enrico (Spanish form: Enrique) | Statement: [Enrico, hasVariant, Enrico (Spanish form: Enrique)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enrico (Spanish form: Enrique) Context triple: [Enrico, hasVariant, Enrico (Spanish form: Enrique)]
-
A.
Enrique
chosen
Enrique is a Spanish given name equivalent to the English name Henry.
-
B.
José
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.
José
José is the given first name of former Major League Baseball player and coach Joey Cora.
-
E.
Enríquez
Enríquez is a Spanish surname historically associated with noble lineages and prominent figures in the kingdoms of Castile and Aragon.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6466354481908595f5bb56025cdb |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10acf7488190946b31f95114d459 |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:19 p.m.