Triple
T13348921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sasha Banks |
E318022
|
entity |
| Predicate | numberOfTimesRawWomen’sChampion |
P109123
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Sasha Banks, numberOfTimesRawWomen’sChampion, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesRawWomen’sChampion Context triple: [Sasha Banks, numberOfTimesRawWomen’sChampion, 5]
-
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.
numberOfTimesWorldHeavyweightChampion
Indicates the number of times an entity has held the World Heavyweight Champion title.
-
E.
isUndisputedChampionIn
Indicates that an entity holds a championship title in a given domain or competition without any current rivals or challenges to that status.
- 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.