Triple
T35203678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WWE Raw Women’s Championship |
E1016476
|
entity |
| Predicate | firstChampionOpponents |
P8304
|
FINISHED |
| Object | Sasha Banks |
E318022
|
NE 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: Sasha Banks | Statement: [WWE Raw Women’s Championship, firstChampionOpponents, Sasha Banks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstChampionOpponents Context triple: [WWE Raw Women’s Championship, firstChampionOpponents, Sasha Banks]
-
A.
firstChampion
Indicates that one entity is the earliest or original champion or title-holder in relation to another entity.
-
B.
opponentLeagueChampion
Indicates that one entity is the league champion team that serves as the opponent of the other entity in a given competition or matchup.
-
C.
championPairs
Indicates a relationship where two entities are linked as a champion pair, typically representing partners or counterparts that jointly hold or share a champion status in some context.
-
D.
pairsChampion
Indicates that the subject is the champion or winning participant in a pairs (two-person team) event or competition.
-
E.
firstGameOpponent
chosen
Indicates that one entity is the opponent faced by another entity in its first game or match.
- F. None of above.
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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a380403f8c08190ad014e7df072afbb |
completed | June 21, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.