Triple
T16087109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniella Pineda |
E390261
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pineda |
E971910
|
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: Pineda | Statement: [Daniella Pineda, familyName, Pineda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pineda Context triple: [Daniella Pineda, familyName, Pineda]
-
A.
Pineda
chosen
Pineda is a Spanish-origin surname common in the Philippines and Latin America, notably borne by Filipino singer Arnel Pineda of the rock band Journey.
-
B.
Pacheco
Pacheco is a Spanish surname borne by various notable figures in fields such as politics, arts, and sports.
-
C.
Jaramillo
Jaramillo is a Spanish-language surname of Basque origin borne by various notable individuals across the Spanish-speaking world.
-
D.
Brazuelo
Brazuelo is a small municipality and village located in the historical region of La Maragatería in the province of León, Spain.
-
E.
Zamudio
Zamudio is a municipality in the province of Biscay in Spain’s Basque Country, known for hosting the Zamudio Technology Park and being part of the Greater Bilbao metropolitan area.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1844f95508190a06dad0ccc9b6191 |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48ef3608190848d4730a4361395 |
completed | May 10, 2026, 1:51 a.m. |
Created at: April 10, 2026, 4:59 a.m.