Triple
T2928378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Stamkos |
E78898
|
entity |
| Predicate | hasNotableTeamTenure |
P20571
|
FINISHED |
| Object | long-term career with Tampa Bay Lightning |
—
|
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: long-term career with Tampa Bay Lightning | Statement: [Steven Stamkos, hasNotableTeamTenure, long-term career with Tampa Bay Lightning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableTeamTenure Context triple: [Steven Stamkos, hasNotableTeamTenure, long-term career with Tampa Bay Lightning]
-
A.
teamTenure
chosen
Indicates the duration or length of time an entity has been part of a particular team.
-
B.
hasNotableCaptain
Indicates that an entity has a specific captain who is recognized as notable or distinguished in some way.
-
C.
notableTeamCoached
Indicates that a person has served as a coach for a team that is considered notable or significant.
-
D.
hasNotablePlayer
Indicates that an entity (such as a team or club) is associated with a player who is particularly distinguished, famous, or significant in its context.
-
E.
memberTeamAtVariousTimes
Indicates that an entity has been a member of a particular team during one or more distinct time periods.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97ff0ddc8190acba9863bbe4f54b |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9606e8348190bb19df33a2709674 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:55 p.m.