Triple
T12236540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel Ángel Suárez |
E291608
|
entity |
| Predicate | hasNamePart |
P5298
|
FINISHED |
| Object | Suárez |
E660187
|
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: Suárez | Statement: [Miguel Ángel Suárez, hasNamePart, Suárez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suárez Context triple: [Miguel Ángel Suárez, hasNamePart, Suárez]
-
A.
Suárez
chosen
Suárez is a common Spanish-language surname borne by numerous notable figures across politics, sports, arts, and literature in the Hispanic world.
-
B.
Suárez
Suárez is a municipality in Colombia, likely located near Flandes in the Tolima region.
-
C.
Luis Fernando Suárez
Luis Fernando Suárez is a Colombian football manager best known for leading national teams such as Ecuador and Honduras to FIFA World Cup tournaments.
-
D.
Juan Suárez
Juan Suárez was one of the climbers credited with making the first recorded ascent of Torre de Cerredo, the highest peak in Spain’s Picos de Europa.
-
E.
Flody Suarez
Flody Suarez is an American television and theater producer known for his work on projects such as the Broadway musical "The Cher Show."
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb2892c81909a97b3ad6ec2c21b |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ab19a4c8190b4692d7ab0d02a12 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.