Triple
T13348922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sasha Banks |
E318022
|
entity |
| Predicate | numberOfTimesWomen’sTagTeamChampion |
P109124
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Sasha Banks, numberOfTimesWomen’sTagTeamChampion, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesWomen’sTagTeamChampion Context triple: [Sasha Banks, numberOfTimesWomen’sTagTeamChampion, 3]
-
A.
numberOfTimesHeldWWE_Divas_Championship
Indicates how many times the subject has held the WWE Divas Championship title.
-
B.
associatedWomanOfVictory
Indicates a relationship in which a woman is connected or linked to a particular victory, such as by contributing to, representing, or being honored in relation to that victory.
-
C.
numberOfWNBAChampionships
Indicates the count of WNBA championship titles that an entity has won.
-
D.
WrestleManiaStreakEnded
Indicates that an entity’s previously undefeated or ongoing winning streak at WrestleMania has come to an end.
-
E.
wrestlingNationalTitles
Indicates that the subject has won one or more national championship titles in the sport of wrestling.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8b28e48190a23194e03a74b41b |
completed | April 11, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99073e4708190843bda3a1ae78f43 |
completed | April 11, 2026, 12:06 a.m. |
Created at: April 9, 2026, 9:31 p.m.