Triple
T30849729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican National Tag Team Championship |
E785744
|
entity |
| Predicate | firstChampionshipTeam |
P201788
|
FINISHED |
| Object | Blue Demon and Black Shadow |
E780332
|
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: Blue Demon and Black Shadow | Statement: [Mexican National Tag Team Championship, firstChampionshipTeam, Blue Demon and Black Shadow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstChampionshipTeam Context triple: [Mexican National Tag Team Championship, firstChampionshipTeam, Blue Demon and Black Shadow]
-
A.
winningTeamFirstTitle
Indicates that the winning team is achieving its first-ever title in the relevant competition or context.
-
B.
team2FirstNFLSeason
Indicates the first NFL season in which the second team participated or existed.
-
C.
firstWinningClub
chosen
Indicates the club that was the earliest or first to win a particular competition, title, or event.
-
D.
hasTeamsChampionship
Indicates that an entity has won at least one championship title in a teams-based competition or league.
-
E.
firstStanleyCupTitleFor
Indicates that the subject is the team or player for whom the object represents their first Stanley Cup championship title.
- F. None of above.
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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0340784c488190aa6c7c9be2e8a434 |
completed | May 12, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28bbfacbf88190b0e02b3389407308 |
completed | June 10, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_6a033f33eddc819091507716f6ed7d7d |
completed | May 12, 2026, 2:54 p.m. |
Created at: April 29, 2026, 8:46 p.m.