Triple
T10838245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaylen Waddle |
E255815
|
entity |
| Predicate | hasJerseyColor |
P95991
|
FINISHED |
| Object | aqua |
—
|
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: aqua | Statement: [Jaylen Waddle, hasJerseyColor, aqua]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJerseyColor Context triple: [Jaylen Waddle, hasJerseyColor, aqua]
-
A.
hasHomeJerseyColor
Indicates that an entity’s home jersey is characterized by a specified color.
-
B.
leaderJerseyColor
Indicates the color of the jersey worn by the current leader in a competition or ranking.
-
C.
hasThirdJerseyColor
Indicates that an entity has a designated third (alternate) jersey whose primary color is the specified value.
-
D.
wearsJerseyFor
Indicates that one entity wears a jersey representing, belonging to, or in support of another entity (such as a team, organization, or individual).
-
E.
hasDerbyColor
Indicates that one entity (typically a derby or race event) is associated with a specific color used to represent or identify it.
- F. None of above. chosen
Provenance (4 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d747002b3081908726901ee83d8f38 |
completed | April 9, 2026, 6:28 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101c96708190808fef73199e8482 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:19 p.m.