Triple
T35636557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WWE Backlash 2016 |
E1029735
|
entity |
| Predicate | tagTeamChampionsCrowned |
P120226
|
FINISHED |
| Object | Heath Slater and Rhyno |
—
|
NE NERFINISHED |
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: Heath Slater and Rhyno | Statement: [WWE Backlash 2016, tagTeamChampionsCrowned, Heath Slater and Rhyno]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tagTeamChampionsCrowned Context triple: [WWE Backlash 2016, tagTeamChampionsCrowned, Heath Slater and Rhyno]
-
A.
teamChampionshipsWon
Indicates the number of championship titles that a team has won.
-
B.
teamChampionshipName
Indicates the name or title of the championship associated with a particular team.
-
C.
team2ChampionshipHistory
Indicates the record of championships that the second team has participated in or won over time.
-
D.
divisionChampionChampionTeam
Indicates that a particular team is the champion of a specific division in a competition or league.
-
E.
notableChampionTeam
chosen
Indicates that a team is notably recognized as the champion associated with a particular competition, event, or context.
- F. None of above.
Provenance (3 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_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:05 p.m.