Triple
T20918228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trey Lance |
E515131
|
entity |
| Predicate | collegeTeamColor |
P141673
|
FINISHED |
| Object | green and yellow |
—
|
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: green and yellow | Statement: [Trey Lance, collegeTeamColor, green and yellow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeTeamColor Context triple: [Trey Lance, collegeTeamColor, green and yellow]
-
A.
teamColor
Indicates the association between a team and the color that represents or identifies it.
-
B.
teamColorsImplied
Indicates that the colors associated with a team are inferred or derived from context rather than explicitly specified.
-
C.
collegeTeam
Indicates that one entity is a sports team that represents or is affiliated with a particular college or university.
-
D.
clubColorsDisplayed
Indicates that the colors associated with a club are being visibly shown or presented.
-
E.
homeTeamColors
Indicates the colors associated with the home team in a sporting event or competition.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec647028819082031eb706a62ad5 |
completed | April 21, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:48 p.m.