Triple
T21732401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blaine Manning |
E536438
|
entity |
| Predicate | primaryJerseyType |
P48156
|
FINISHED |
| Object | Toronto Rock uniform |
—
|
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: Toronto Rock uniform | Statement: [Blaine Manning, primaryJerseyType, Toronto Rock uniform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryJerseyType Context triple: [Blaine Manning, primaryJerseyType, Toronto Rock uniform]
-
A.
primaryJerseyDesign
chosen
Indicates the main visual design or pattern used on an entity’s primary jersey or uniform.
-
B.
woreClassificationJersey
Indicates that an entity wore a special classification jersey (such as leader, points, or mountain jersey) during a race or stage.
-
C.
leaderJerseyColor
Indicates the color of the jersey worn by the current leader in a competition or ranking.
-
D.
pointsClassificationJerseyColor
Indicates the color of the jersey awarded to the leader of the points classification in a race or competition.
-
E.
shirtNumberType
Indicates the type or category of a shirt number assigned to an entity (for example, a player’s jersey number type).
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd085eec81908b3df82bc25a8780 |
completed | April 28, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:48 p.m.