Triple
T24393113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth Stephen Daneyko |
E614950
|
entity |
| Predicate | spentEntireNhlCareerWith |
P68837
|
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, spentEntireNhlCareerWith, New Jersey Devils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spentEntireNhlCareerWith Context triple: [Kenneth Stephen Daneyko, spentEntireNhlCareerWith, New Jersey Devils]
-
A.
playedEntireNHLCareerFor
chosen
Indicates that a person spent their entire National Hockey League playing career exclusively with a single team.
-
B.
spentEntireMLBCareerWith
Indicates that a player spent their entire Major League Baseball career with a single team.
-
C.
playedNHLGamesFor
Indicates that a person has participated in one or more official National Hockey League games as a player for a specified team.
-
D.
spentEntireNflCareerWith
Indicates that an NFL player spent their whole professional NFL career playing for a single team, without ever joining another NFL franchise.
-
E.
joinedNHL
Indicates that an entity became a member of, or started playing in, the National Hockey League (NHL).
- 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.