Triple
T17397185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glen Sather |
E422983
|
entity |
| Predicate | championshipCountWithTeam |
P10054
|
FINISHED |
| Object | 5 Stanley Cups with Edmonton Oilers |
—
|
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: 5 Stanley Cups with Edmonton Oilers | Statement: [Glen Sather, championshipCountWithTeam, 5 Stanley Cups with Edmonton Oilers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championshipCountWithTeam Context triple: [Glen Sather, championshipCountWithTeam, 5 Stanley Cups with Edmonton Oilers]
-
A.
championshipNumberForTeam
Indicates the total number of championships that a given team has won.
-
B.
championshipWithTeam
chosen
Indicates that an entity has won or holds a championship title specifically while being a member of a particular team.
-
C.
conferenceChampionshipWonCount
Indicates the number of conference championships that have been won.
-
D.
associatedChampionshipCount
Indicates the number of championships that are linked or related to a given entity.
-
E.
conferenceChampionshipAppearances
Indicates the number of times an entity has participated in a conference championship event or game.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43abe6f708190944aad636e1eb9a1 |
completed | April 19, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.