Triple
T18834824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimo Leopoldo |
E460633
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kimo Leopoldo |
—
|
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: Kimo Leopoldo | Statement: [Kimo Leopoldo, name, Kimo Leopoldo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimo Leopoldo Context triple: [Kimo Leopoldo, name, Kimo Leopoldo]
-
A.
Kimo Leopoldo
chosen
Kimo Leopoldo is an American former mixed martial artist and kickboxer who gained prominence in the early days of the UFC.
-
B.
Filiberto
Filiberto was a Puerto Rican nationalist and militant leader associated with the Puerto Rican independence movement.
-
C.
Teodoro
Teodoro is a given name, commonly used in Romance-language countries, that corresponds to the English name Theodore.
-
D.
Hipólito Unanue
Hipólito Unanue was a prominent Peruvian physician, scientist, and statesman of the late colonial and early republican periods, noted for his contributions to medicine, enlightenment thought, and the political formation of independent Peru.
-
E.
Udenio
Udenio is an Italian surname most notably associated with actress Fabiana Udenio, known for her work in film and television.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99c1394819095c62eef040e552c |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.