Triple
T12529377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enrique |
E299519
|
entity |
| Predicate | hasFeminineForm |
P1613
|
FINISHED |
| Object | Enriqueta |
E945271
|
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: Enriqueta | Statement: [Enrique, hasFeminineForm, Enriqueta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enriqueta Context triple: [Enrique, hasFeminineForm, Enriqueta]
-
A.
Enriqueta
chosen
Enriqueta is a feminine given name of Spanish origin, often associated with historical and cultural figures in Spanish-speaking countries.
-
B.
Ana Maria
Ana Maria is an artist best known for creating the cover artwork for Bob Dylan’s album "World Gone Wrong."
-
C.
Ana Maria
Ana Maria is a notable racehorse associated with the legendary American Thoroughbred champion Native Dancer.
-
D.
Magdalena de las Salinas
Magdalena de las Salinas is a neighborhood in northern Mexico City known for its residential character and proximity to major industrial and commercial zones.
-
E.
Carlota
Carlota is the feminine given name corresponding to Carlos, commonly used in Spanish- and Portuguese-speaking cultures.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545e90948190980bd4d64964a0f2 |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684d4821c8190aa29db4b35262e8e |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 8, 2026, 9:57 p.m.