Triple
T24393137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth Stephen Daneyko |
E614950
|
entity |
| Predicate | playedCareerGamesFor |
P122861
|
FINISHED |
| Object | New Jersey Devils |
—
|
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: New Jersey Devils | Statement: [Kenneth Stephen Daneyko, playedCareerGamesFor, New Jersey Devils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedCareerGamesFor Context triple: [Kenneth Stephen Daneyko, playedCareerGamesFor, New Jersey Devils]
-
A.
playedCareerGamesForTeam
chosen
Indicates that an athlete has played official career games as a member of the specified team.
-
B.
hasCareerGamesPlayed
Indicates the total number of games an entity has played over the course of its entire career.
-
C.
playedEntireCareerForSingleFranchise
Indicates that an athlete spent their entire professional career playing for only one franchise or team.
-
D.
careerGamesStarted
Indicates the total number of games an entity has started over the course of its entire career.
-
E.
playedNHLGamesFor
Indicates that a person has participated in one or more official National Hockey League games as a player for a specified team.
- 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_69e2d7e509b88190a53155d4f3de45ce |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2945a2f6c8190b11a027c446ffe34 |
completed | April 29, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:04 a.m.