Triple
T26008025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motor City Cobra |
E646812
|
entity |
| Predicate | associatedWithFighterStyle |
P165415
|
FINISHED |
| Object | offensive boxer-puncher |
—
|
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: offensive boxer-puncher | Statement: [Motor City Cobra, associatedWithFighterStyle, offensive boxer-puncher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithFighterStyle Context triple: [Motor City Cobra, associatedWithFighterStyle, offensive boxer-puncher]
-
A.
boxingStyleCharacteristic
Indicates that a particular boxing style possesses or is defined by a specific characteristic or attribute.
-
B.
hasFighter
Indicates that an entity possesses, controls, or is associated with a fighter (such as a combatant, combat vehicle, or fighting unit).
-
C.
combatStyleAgainst
Indicates the specific way or method one entity uses to fight or engage in combat when facing another entity.
-
D.
styleOfBoxing
chosen
Indicates the specific boxing technique or approach that characterizes how an entity practices or performs boxing.
-
E.
isGrapplingArt
Indicates that the subject is a martial art or combat style primarily focused on grappling techniques such as holds, locks, and throws.
- 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
Created at: April 22, 2026, 9:01 a.m.