Triple
T13348734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Undertaker |
E318019
|
entity |
| Predicate | WorldTagTeamChampionshipReigns |
P109119
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [The Undertaker, WorldTagTeamChampionshipReigns, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldTagTeamChampionshipReigns Context triple: [The Undertaker, WorldTagTeamChampionshipReigns, 6]
-
A.
wrestlingNationalTitles
Indicates that the subject has won one or more national championship titles in the sport of wrestling.
-
B.
WHAChampionships
Indicates the number of championships an entity has won in the World Hockey Association (WHA).
-
C.
divisionChampionChampionTeam
Indicates that a particular team is the champion of a specific division in a competition or league.
-
D.
countryTopDivisionTitles
Indicates the number of top-tier national league titles an entity has won in a given country.
-
E.
wrestledWith
Indicates that one entity engaged in a physical wrestling contest or struggle with another entity.
- 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.