Triple
T27366313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfredo Escalera |
E690172
|
entity |
| Predicate | typeOfBoxer |
P195438
|
FINISHED |
| Object | super featherweight boxer |
—
|
LITERAL 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: super featherweight boxer | Statement: [Alfredo Escalera, typeOfBoxer, super featherweight boxer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBoxer Context triple: [Alfredo Escalera, typeOfBoxer, super featherweight boxer]
-
A.
boxingRecordType
Indicates the specific category or classification of a boxer's record (e.g., amateur, professional, exhibition) associated with a boxing performance or career.
-
B.
winningBoxer
Indicates that one boxer has defeated another in a boxing match and is recognized as the winner.
-
C.
formerBoxer
Indicates that a person previously worked or competed as a boxer but no longer does so.
-
D.
hasBoxerCharacter
Indicates that an entity includes or features a character who is a boxer.
-
E.
styleOfBoxing
Indicates the specific boxing technique or approach that characterizes how an entity practices or performs boxing.
- F. None of above. chosen
Provenance (4 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_69ef51ff826081909e42c8e2bfb97941 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69fdd2bda90881909aa229194d014ba7 |
completed | May 8, 2026, 12:10 p.m. |
Created at: April 27, 2026, 12:17 p.m.