Triple
T16950350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitali Klitschko |
E411164
|
entity |
| Predicate | boxingRecord |
P44661
|
FINISHED |
| Object | high knockout percentage among heavyweight champions |
—
|
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: high knockout percentage among heavyweight champions | Statement: [Vitali Klitschko, boxingRecord, high knockout percentage among heavyweight champions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boxingRecord Context triple: [Vitali Klitschko, boxingRecord, high knockout percentage among heavyweight champions]
-
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.
boxingRecordSummary
chosen
Indicates the summarized outcome or performance record of an entity in boxing matches, such as total wins, losses, and related statistics.
-
C.
formerBoxer
Indicates that a person previously worked or competed as a boxer but no longer does so.
-
D.
undefeatedInProfessionalBoxing
Indicates that a boxer has never lost any match in their professional boxing career.
-
E.
boxingStable
Indicates that one entity is a boxing stable (training/management camp) to which the other entity (typically a boxer) is affiliated or belongs.
- F. None of above.
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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb6e5fc8190b1bd3ad1c2773685 |
completed | April 18, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.