Triple
T22836445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Young |
E565959
|
entity |
| Predicate | teamStyleDescription |
P23343
|
FINISHED |
| Object | above-the-rim, fast-break dunking style |
—
|
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: above-the-rim, fast-break dunking style | Statement: [Michael Young, teamStyleDescription, above-the-rim, fast-break dunking style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamStyleDescription Context triple: [Michael Young, teamStyleDescription, above-the-rim, fast-break dunking style]
-
A.
teamStyle
Indicates the characteristic way a team typically operates, collaborates, and approaches its work or objectives.
-
B.
teamFormat
Indicates the structural arrangement or configuration in which a team is organized or operates.
-
C.
styleOfMembers
chosen
Indicates that one entity specifies or characterizes the stylistic attributes or manner of presentation associated with the members of another entity.
-
D.
teamColorContext
Indicates the contextual or situational association between a team and its designated color.
-
E.
teamColorOrIdentity
Indicates that a team is associated with a particular color or identifying attribute used to distinguish it from other teams.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2f09608190bc8e465e53b39e2e |
completed | April 29, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:35 p.m.