Triple
T15814685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna Lauren Vélez |
E383444
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Vélez |
E177187
|
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: Vélez | Statement: [Luna Lauren Vélez, familyName, Vélez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vélez Context triple: [Luna Lauren Vélez, familyName, Vélez]
-
A.
Vélez
chosen
Vélez is a Spanish-language surname common in Latin America and Spain, borne by various notable figures in arts, sports, and public life.
-
B.
Vélez
Vélez is a municipality in Colombia’s Santander Department known for its colonial heritage and traditional sweets.
-
C.
Carballal
Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
-
D.
Melgar
Melgar is a popular tourist town in Colombia known for its warm climate, water parks, and proximity to major cities like Bogotá.
-
E.
Crespo
Crespo is a Spanish-origin surname borne by various notable individuals, including the Argentine footballer Hernán Crespo.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a1571881909488728f123865ad |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff99959f048190ae24a072387ec233 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.