Triple
T6259148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kellen Winslow |
E140249
|
entity |
| Predicate | receptionsCareer |
P10745
|
FINISHED |
| Object | 541 |
—
|
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: 541 | Statement: [Kellen Winslow, receptionsCareer, 541]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receptionsCareer Context triple: [Kellen Winslow, receptionsCareer, 541]
-
A.
careerReceptions
chosen
Indicates the total number of receptions a player has made over the course of their entire career.
-
B.
receptions
Indicates that one entity formally receives, welcomes, or hosts another entity, often in a social, ceremonial, or official context.
-
C.
supportedCareerOf
Indicates that one entity provided assistance, resources, or endorsement that helped establish or advance another entity’s career.
-
D.
reception
Indicates the act of receiving or welcoming someone or something, often marking the initial acknowledgment or acceptance in an interaction or process.
-
E.
laterReception
Indicates that one entity receives or accepts something at a time that is later than when another related reception or event occurs.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06367e0b48190967ebfb9bfbc9732 |
completed | March 22, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c05605566c81908e197f5accd072d2 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:24 p.m.