Triple
T16744538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José |
E406915
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Josep |
E922770
|
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: Josep | Statement: [José, hasVariant, Josep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josep Context triple: [José, hasVariant, Josep]
-
A.
Josep
Josep "Pep" Guardiola is a highly successful Spanish football manager and former player, renowned for his innovative tactics and trophy-laden spells at clubs like FC Barcelona, Bayern Munich, and Manchester City.
-
B.
Josep
chosen
Josep is a masculine given name of Catalan origin, equivalent to Joseph in English.
-
C.
Josep Lluís
Josep Lluís is the Catalan given name of the renowned Spanish architect and urban planner Josep Lluís Sert, a key figure in modernist architecture.
-
D.
Enric
Enric is a masculine given name of Catalan origin, commonly used in Catalonia and other Catalan-speaking regions.
-
E.
Josep Irla
Josep Irla was a Catalan politician who served as President of the Generalitat of Catalonia in exile during the Franco dictatorship, helping to preserve Catalan institutional continuity.
- 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.