Triple
T29820635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Bourque |
E757233
|
entity |
| Predicate | CalderCupChampionWith |
P167905
|
FINISHED |
| Object | Hershey Bears |
—
|
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: Hershey Bears | Statement: [Chris Bourque, CalderCupChampionWith, Hershey Bears]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CalderCupChampionWith Context triple: [Chris Bourque, CalderCupChampionWith, Hershey Bears]
-
A.
CalderCupWinYear
Indicates the specific year in which an entity won the Calder Cup.
-
B.
CalderCupTitles
Indicates the number of Calder Cup championship titles an entity has won.
-
C.
CalderCupChampionTeam
Indicates that a team has won the Calder Cup championship in a given season.
-
D.
CalderCupWinner
Indicates that the subject team has won the American Hockey League’s Calder Cup championship for that season or year.
-
E.
stanleyCupChampionWith
Indicates that one entity is the team or individual who won the Stanley Cup in association with the specified season, year, or context.
- 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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f675675250819089db3b30f1f05f87 |
completed | May 2, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 29, 2026, 5:29 p.m.