Triple
T6948001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Pronger |
E160847
|
entity |
| Predicate | stanleyCupChampionYear |
P16996
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Chris Pronger, stanleyCupChampionYear, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanleyCupChampionYear Context triple: [Chris Pronger, stanleyCupChampionYear, 2007]
-
A.
stanleyCupWinYear
Indicates the specific year in which a given team won the Stanley Cup.
-
B.
wonStanleyCupYear
chosen
Indicates that an entity (typically a team) won the Stanley Cup in a specified year.
-
C.
StanleyCupChampionSeason
Indicates the relationship between a specific NHL season and the team that won the Stanley Cup in that season.
-
D.
StanleyCupChampion
Indicates that an entity is the team or individual that won the Stanley Cup championship in a given season.
-
E.
StanleyCupWinnerWith
Indicates that one entity is the winner of the Stanley Cup in association with, or while being a member of, the other entity (typically a team or organization).
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:28 p.m.