Triple
T16467976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King K. Rool |
E399982
|
entity |
| Predicate | SmashBrosFighterNumber |
P122895
|
FINISHED |
| Object | 67 |
—
|
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: 67 | Statement: [King K. Rool, SmashBrosFighterNumber, 67]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SmashBrosFighterNumber Context triple: [King K. Rool, SmashBrosFighterNumber, 67]
-
A.
hasFighter
Indicates that an entity possesses, controls, or is associated with a fighter (such as a combatant, combat vehicle, or fighting unit).
-
B.
amiiboSeries
Indicates the specific amiibo product line or series to which an amiibo-related entity belongs.
-
C.
reignNumberForFighter
Indicates the ordinal number of a specific championship reign associated with a particular fighter.
-
D.
primaryFighterModel
Indicates that one entity is the main or standard fighter aircraft model associated with another entity (such as a country, air force, or military unit).
-
E.
franchiseCharacter
Indicates a relationship where a character belongs to, appears in, or is part of a particular media franchise.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dce342081909cad56dc92de13a2 |
completed | April 18, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69e227048d608190a4205eae3117629a |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24556c1348190902a4d116c3137d9 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:11 a.m.