Triple
T6259125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kellen Winslow |
E140249
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kellen
Kellen is a masculine given name most notably associated with former NFL tight end and Hall of Famer Kellen Winslow.
|
E580258
|
NE FINISHED |
How this triple was built (4 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: Kellen | Statement: [Kellen Winslow, givenName, Kellen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kellen Context triple: [Kellen Winslow, givenName, Kellen]
-
A.
Kent Downs
Kent Downs is an Area of Outstanding Natural Beauty in southeast England, characterized by rolling chalk hills, woodlands, and river valleys including parts of the River Stour in Kent.
-
B.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
C.
Payton
Payton is the surname of Sean Payton, a prominent American football coach best known for his long tenure with the New Orleans Saints.
-
D.
Chase Palmer
Chase Palmer is an American screenwriter and filmmaker best known for co-writing the 2017 horror film adaptation of Stephen King’s "It."
-
E.
Tosker Cox
Tosker Cox is a central character in the British television drama "Our Friends in the North," whose life story reflects the social and political changes in late 20th-century Britain.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kellen Triple: [Kellen Winslow, givenName, Kellen]
Generated description
Kellen is a masculine given name most notably associated with former NFL tight end and Hall of Famer Kellen Winslow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kellen Target entity description: Kellen is a masculine given name most notably associated with former NFL tight end and Hall of Famer Kellen Winslow.
-
A.
Kent Downs
Kent Downs is an Area of Outstanding Natural Beauty in southeast England, characterized by rolling chalk hills, woodlands, and river valleys including parts of the River Stour in Kent.
-
B.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
C.
Payton
Payton is the surname of Sean Payton, a prominent American football coach best known for his long tenure with the New Orleans Saints.
-
D.
Chase Palmer
Chase Palmer is an American screenwriter and filmmaker best known for co-writing the 2017 horror film adaptation of Stephen King’s "It."
-
E.
Tosker Cox
Tosker Cox is a central character in the British television drama "Our Friends in the North," whose life story reflects the social and political changes in late 20th-century Britain.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_69c24444b85c8190adf09c473b42ea9b |
completed | March 24, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_69c4fb6bb9bc8190a29ae09221aa5464 |
completed | March 26, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c4fc075dd881908230bb66d1445d5a |
completed | March 26, 2026, 9:27 a.m. |
Created at: March 22, 2026, 4:24 p.m.