Triple
T12455285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Valderrama |
E297640
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Valderrama |
E825040
|
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: Valderrama | Statement: [Carlos Valderrama, familyName, Valderrama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valderrama Context triple: [Carlos Valderrama, familyName, Valderrama]
-
A.
Valderrama
chosen
Valderrama is a Spanish-language surname most prominently associated with Colombian football legend Carlos Valderrama and American actor Wilmer Valderrama.
-
B.
Dosquebradas
Dosquebradas is a Colombian city in the Coffee Region known for its industrial activity and close integration with the neighboring city of Pereira.
-
C.
Larrea
Larrea is a genus of hardy desert shrubs in the caltrop family, best known for the creosote bush that dominates many arid landscapes of the Americas.
-
D.
Aranguez
Aranguez is a residential and commercial neighborhood in the San Juan–Laventille region of Trinidad and Tobago, known for its agricultural lands and proximity to Port of Spain.
-
E.
Valle Gómez
Valle Gómez is a Mexico City Metro station on Line 5 serving the Valle Gómez neighborhood in the city.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da2a3cc81908de5a85257627fe2 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f190c788190adceaab8117d52a6 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.