Triple
T12355588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patten |
E294602
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Steve Patten
Steve Patten is an individual notable enough to be specifically cited as a bearer of the surname Patten.
|
E987684
|
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: Steve Patten | Statement: [Patten, hasNotableBearer, Steve Patten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Patten Context triple: [Patten, hasNotableBearer, Steve Patten]
-
A.
Steve Judd
Steve Judd is the aging, principled former lawman at the heart of the Western film "Ride the High Country," whose moral integrity drives the story’s central conflict.
-
B.
Ken Nelson
Ken Nelson was an influential American record producer best known for his work with country and pop artists at Capitol Records during the mid-20th century.
-
C.
Ken Nelson
Ken Nelson is a British record producer best known for his work with Coldplay, including producing their hit song "Fix You."
-
D.
Don Peters
Don Peters is a character in Stephen King and Owen King's novel "Sleeping Beauties," involved in the unfolding crisis when women worldwide fall into a mysterious sleep.
-
E.
Phil Stong
Phil Stong was an American novelist and journalist best known for his 1932 novel "State Fair," which inspired multiple film adaptations.
- 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: Steve Patten Triple: [Patten, hasNotableBearer, Steve Patten]
Generated description
Steve Patten is an individual notable enough to be specifically cited as a bearer of the surname Patten.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Patten Target entity description: Steve Patten is an individual notable enough to be specifically cited as a bearer of the surname Patten.
-
A.
Steve Judd
Steve Judd is the aging, principled former lawman at the heart of the Western film "Ride the High Country," whose moral integrity drives the story’s central conflict.
-
B.
Ken Nelson
Ken Nelson was an influential American record producer best known for his work with country and pop artists at Capitol Records during the mid-20th century.
-
C.
Ken Nelson
Ken Nelson is a British record producer best known for his work with Coldplay, including producing their hit song "Fix You."
-
D.
Don Peters
Don Peters is a character in Stephen King and Owen King's novel "Sleeping Beauties," involved in the unfolding crisis when women worldwide fall into a mysterious sleep.
-
E.
Phil Stong
Phil Stong was an American novelist and journalist best known for his 1932 novel "State Fair," which inspired multiple film adaptations.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8bc60c8190b0ceb84093e70db4 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b90779881909893d1e6877ce567 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64d15a97c81909046190f0d0fd986 |
completed | May 2, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64e6d311c8190b851b89e394165d0 |
completed | May 2, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:54 p.m.