Triple
T2894699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Rangers–New Jersey Devils rivalry |
E63907
|
entity |
| Predicate | nicknameOf1994Game7 |
P38618
|
FINISHED |
| Object | Matteau! Matteau! Matteau! |
—
|
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: Matteau! Matteau! Matteau! | Statement: [New York Rangers–New Jersey Devils rivalry, nicknameOf1994Game7, Matteau! Matteau! Matteau!]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameOf1994Game7 Context triple: [New York Rangers–New Jersey Devils rivalry, nicknameOf1994Game7, Matteau! Matteau! Matteau!]
-
A.
notableGameNickname
chosen
Indicates that an entity is a well-known or commonly used nickname for a particular game.
-
B.
notableTeamNickname
Indicates that a team is commonly known by a particular nickname that is notable or widely recognized.
-
C.
championshipGame
Indicates a game that determines the overall champion or winner of a competition or tournament.
-
D.
homeArenaNickname
Indicates the commonly used or informal nickname of a team's or organization's home arena.
-
E.
teamNickname
Indicates the commonly used informal or symbolic name by which a team is known.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe063de6c8190bce9ddefd1dd62e1 |
completed | March 7, 2026, 8:23 a.m. |
| PD | Predicate disambiguation | batch_69abdd17bcdc8190aa47274a50ba4ad4 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:07 p.m.