Triple
T37981396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1976 Stanley Cup playoffs |
E947557
|
entity |
| Predicate | championSeriesRecord |
P134518
|
FINISHED |
| Object | Montreal Canadiens went 12–1 in the playoffs |
—
|
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: Montreal Canadiens went 12–1 in the playoffs | Statement: [1976 Stanley Cup playoffs, championSeriesRecord, Montreal Canadiens went 12–1 in the playoffs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championSeriesRecord Context triple: [1976 Stanley Cup playoffs, championSeriesRecord, Montreal Canadiens went 12–1 in the playoffs]
-
A.
championSeriesWins
Indicates that one entity has won a championship series a specified number of times or in a specified context relative to another entity.
-
B.
championFinalsRecord
Indicates the win–loss record a champion has specifically in finals appearances.
-
C.
championRegularSeasonRecord
Indicates that an entity is the champion associated with a particular regular season record.
-
D.
winnerSeriesRecord
Indicates that one entity holds a winning record over another entity across a series of contests or events.
-
E.
championWinLossRecord
chosen
Indicates the win–loss performance record of a champion in competitive contexts.
- 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 3, 2026, 4:20 p.m.