Triple
T15340797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nonito Donaire |
E366788
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Donaire
Donaire is the surname of Nonito Donaire, a renowned Filipino-American professional boxer and multiple-time world champion.
|
E1152056
|
NE FINISHED |
How this triple was built (4 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: Donaire | Statement: [Nonito Donaire, familyName, Donaire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donaire Context triple: [Nonito Donaire, familyName, Donaire]
-
A.
Juan Daura
Juan Daura was an architect known for his work on the design and construction of Cádiz Cathedral in Spain.
-
B.
Josesito López
Josesito López is an American professional boxer known for his upset victories and rugged, all-action fighting style in the welterweight and light welterweight divisions.
-
C.
Marco Mendoza
Marco Mendoza is a Mexican-American rock bassist and vocalist best known for his work with bands like Thin Lizzy, Whitesnake, and The Dead Daisies.
-
D.
Cerdan
Cerdan is a French surname most famously associated with Marcel Cerdan, the celebrated mid-20th-century world champion boxer.
-
E.
Vicente Luque
Vicente Luque is a Brazilian-American mixed martial artist known for his aggressive, well-rounded fighting style and success as a top contender in the UFC welterweight division.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Donaire Triple: [Nonito Donaire, familyName, Donaire]
Generated description
Donaire is the surname of Nonito Donaire, a renowned Filipino-American professional boxer and multiple-time world champion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donaire Target entity description: Donaire is the surname of Nonito Donaire, a renowned Filipino-American professional boxer and multiple-time world champion.
-
A.
Juan Daura
Juan Daura was an architect known for his work on the design and construction of Cádiz Cathedral in Spain.
-
B.
Josesito López
Josesito López is an American professional boxer known for his upset victories and rugged, all-action fighting style in the welterweight and light welterweight divisions.
-
C.
Marco Mendoza
Marco Mendoza is a Mexican-American rock bassist and vocalist best known for his work with bands like Thin Lizzy, Whitesnake, and The Dead Daisies.
-
D.
Cerdan
Cerdan is a French surname most famously associated with Marcel Cerdan, the celebrated mid-20th-century world champion boxer.
-
E.
Vicente Luque
Vicente Luque is a Brazilian-American mixed martial artist known for his aggressive, well-rounded fighting style and success as a top contender in the UFC welterweight division.
- F. None of above. chosen
Provenance (5 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e12eb7c8190944a260aa1aa9156 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f55e9881908612c4e384836fb5 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff030970588190a793cd710e819635 |
completed | May 9, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff04633de08190867ad3baec6b2b02 |
completed | May 9, 2026, 9:54 a.m. |
Created at: April 10, 2026, 3:17 a.m.