Triple
T24393173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Daneyko |
E614952
|
entity |
| Predicate | gamesPlayedForTeam |
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: [Ken Daneyko, gamesPlayedForTeam, New Jersey Devils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gamesPlayedForTeam Context triple: [Ken Daneyko, gamesPlayedForTeam, New Jersey Devils]
-
A.
playedCareerGamesForTeam
chosen
Indicates that an athlete has played official career games as a member of the specified team.
-
B.
teamPlayedFor
Indicates that a person was a member of and played for a particular sports team.
-
C.
gameCountPerTeam
Indicates the number of games associated with or played by each team.
-
D.
teamAppearances
Indicates the number of times an entity has participated in or been present as part of a particular team.
-
E.
positionPlayedForTeam
Indicates the specific playing position or role an individual held while participating on a particular 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.