Triple
T21289525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernández Pacheco |
E524748
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Pacheco |
—
|
NE NERFINISHED |
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: Pacheco | Statement: [Fernández Pacheco, hasComponent, Pacheco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pacheco Context triple: [Fernández Pacheco, hasComponent, Pacheco]
-
A.
Pacheco
chosen
Pacheco is a Spanish surname borne by various notable figures in fields such as politics, arts, and sports.
-
B.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
-
C.
Espinosa
Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
-
D.
Espinosa
Espinosa is a Spanish-origin surname common in the Hispanic world and borne by numerous notable figures in politics, arts, and sports.
-
E.
Velasco
Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d882408190a2300327cb73b7f6 |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.