Triple
T10838199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyreek Hill |
E255814
|
entity |
| Predicate | jerseyColorFormerTeam |
P95990
|
FINISHED |
| Object | red and gold (Kansas City Chiefs) |
—
|
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: red and gold (Kansas City Chiefs) | Statement: [Tyreek Hill, jerseyColorFormerTeam, red and gold (Kansas City Chiefs)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jerseyColorFormerTeam Context triple: [Tyreek Hill, jerseyColorFormerTeam, red and gold (Kansas City Chiefs)]
-
A.
leaderJerseyColor
Indicates the color of the jersey worn by the current leader in a competition or ranking.
-
B.
jerseyColorAlternate
Indicates that an entity’s alternate or secondary jersey has a specified color.
-
C.
jerseyColorTradition
Indicates a conventional or historically established association between a team and the primary color of its jersey.
-
D.
jerseyColorContext
Indicates the contextual or situational meaning of a jersey’s color in relation to an entity (e.g., what role, status, or condition the color signifies).
-
E.
hasHomeJerseyColor
Indicates that an entity’s home jersey is characterized by a specified color.
- 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.