Triple
T17410047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shannon Briggs |
E423328
|
entity |
| Predicate | boxingRecordFeature |
P44661
|
FINISHED |
| Object | high knockout percentage |
—
|
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 | Statement: [Shannon Briggs, boxingRecordFeature, high knockout percentage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boxingRecordFeature Context triple: [Shannon Briggs, boxingRecordFeature, high knockout percentage]
-
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.
featuredFighter
Indicates that a particular fighter is highlighted or prominently showcased in a given context or event.
-
D.
formerBoxer
Indicates that a person previously worked or competed as a boxer but no longer does so.
-
E.
featuredWrestler
Indicates that a particular wrestler is highlighted or prominently showcased in a given context or event.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b0a88e881909b2886bd90c92992 |
completed | April 19, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.