Triple
T5973043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Suárez |
E132920
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Suárez |
E132920
|
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: [Luis Suárez, familyName, Suárez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suárez Context triple: [Luis Suárez, familyName, Suárez]
-
A.
Estévez
Estévez is the original Spanish family name of actor Martin Sheen, also shared by several of his children in the entertainment industry.
-
B.
Luis Suárez
chosen
Luis Suárez is a prolific Uruguayan striker renowned for his goal-scoring exploits at clubs such as Ajax, Liverpool, and Barcelona, as well as for his controversial on-field incidents.
-
C.
Rafael Núñez
Rafael Núñez was a Colombian lawyer, politician, and four-time president best known for leading the Regeneration period and shaping the 1886 Constitution of Colombia.
-
D.
Benítez
Benítez is a Spanish surname most prominently associated with football manager Rafael Benítez, known for his successful coaching career in European club football.
-
E.
Sergio González
Sergio González is an alumnus of Gulliver Preparatory School, a private college-preparatory institution in Miami, Florida.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a00c3588190b335d7d3341b6d68 |
completed | March 22, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108422220819092ac63e5ebb264b4 |
completed | March 23, 2026, 9:30 a.m. |
Created at: March 22, 2026, 4:03 p.m.