Triple
T35636559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WWE Backlash 2016 |
E1029735
|
entity |
| Predicate | firstSmackDownWomenChampion |
P207078
|
FINISHED |
| Object | Becky Lynch |
E322170
|
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: Becky Lynch | Statement: [WWE Backlash 2016, firstSmackDownWomenChampion, Becky Lynch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSmackDownWomenChampion Context triple: [WWE Backlash 2016, firstSmackDownWomenChampion, Becky Lynch]
-
A.
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.
-
B.
hasWomenChampionship
Indicates that an entity organizes, hosts, or is associated with a championship specifically for women.
-
C.
numberOfWomensTitleReigns
Indicates the count of times an entity has held a women’s title or championship.
-
D.
numberOfTimesRawWomen’sChampion
Indicates how many times an entity has held the WWE Raw Women’s Championship title.
-
E.
numberOfTimesHeldWWE_Divas_Championship
Indicates how many times the subject has held the WWE Divas Championship title.
- F. None of above. chosen
Provenance (5 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_69f76e087bdc8190a4794bf9c0bd7634 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e573e067c8190adafca8177fa3d58 |
completed | June 26, 2026, 10:41 a.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:05 p.m.