Triple
T7865924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Víctor Hugo Magaña |
E182612
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Magaña |
E182612
|
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: Magaña | Statement: [Víctor Hugo Magaña, familyName, Magaña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magaña Context triple: [Víctor Hugo Magaña, familyName, Magaña]
-
A.
Magaña
chosen
Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
-
B.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
C.
Carbajal
Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
-
D.
Herrero
Herrero is a Spanish occupational surname derived from the word for "blacksmith" or "smith."
-
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 (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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3844eacc81908f8e1e5fc4dafec8 |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc622b1d08190b8d840a58712ef3b |
completed | April 2, 2026, 1:28 a.m. |
Created at: March 30, 2026, 4:54 p.m.