Triple
T1468491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Yzerman |
E27078
|
entity |
| Predicate | roleAtDetroitRedWings |
P13665
|
FINISHED |
| Object | executive vice president and general manager |
—
|
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: executive vice president and general manager | Statement: [Steve Yzerman, roleAtDetroitRedWings, executive vice president and general manager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtDetroitRedWings Context triple: [Steve Yzerman, roleAtDetroitRedWings, executive vice president and general manager]
-
A.
roleAtSportsTeam
chosen
Indicates the specific position or function an individual holds within a sports team.
-
B.
DetroitRedWingsConsecutiveCups
Indicates that the Detroit Red Wings won the Stanley Cup in consecutive seasons.
-
C.
playsOnRinkType
Indicates that an entity participates in a game or activity on a specific type of rink surface or rink configuration.
-
D.
NHLTeamsPlayedFor
Indicates that there exists a professional ice hockey playing relationship where a player has been a member of, and played for, one or more specified NHL teams.
-
E.
relationToChampionsHockeyLeague
Indicates a relationship between an entity and the Champions Hockey League, such as participation, affiliation, or relevance to that competition.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5d70a948190b50a6c1b36abc740 |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:01 p.m.