Triple
T5058101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blake Griffin |
E113954
|
entity |
| Predicate | reasonForMissedSeason |
P34489
|
FINISHED |
| Object | knee injury |
—
|
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: knee injury | Statement: [Blake Griffin, reasonForMissedSeason, knee injury]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForMissedSeason Context triple: [Blake Griffin, reasonForMissedSeason, knee injury]
-
A.
missedSeason
Indicates that an entity did not participate in or was absent for a particular season of an activity, event, or series.
-
B.
missedSeasonsDueToMilitaryService
Indicates that an individual did not participate in one or more seasons of an activity or competition because they were serving in the military.
-
C.
ifDayMissed
Indicates that a specified condition or consequence applies when a particular day has been missed.
-
D.
reasonForNonParticipation
chosen
Indicates the explanation or cause for why an entity did not take part in a specified activity or event.
-
E.
reasonForDiscontinuation
Indicates that one entity specifies the cause or justification for stopping, ending, or withdrawing another entity, process, or activity.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74523434819092b8b15992073b5b |
completed | March 20, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.