Triple
T20531466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Beltrán |
E504077
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Beltrán |
—
|
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: Beltrán | Statement: [Carlos Beltrán, familyName, Beltrán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beltrán Context triple: [Carlos Beltrán, familyName, Beltrán]
-
A.
Beltrán
chosen
Beltrán is a Spanish masculine given name of medieval origin, historically associated with nobility and knightly figures.
-
B.
Velasco
Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
-
C.
Doroteo
Doroteo is the given name of Doroteo Guamuch Flores, a renowned Guatemalan long-distance runner and Boston Marathon champion.
-
D.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
E.
Villacarlos
Villacarlos is the former name of Es Castell, a coastal town on the island of Menorca in Spain known for its natural harbor and military history.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06b923c81908ba24be6645a7c61 |
completed | April 20, 2026, 9:53 p.m. |
Created at: April 16, 2026, 11:37 a.m.