Triple
T15630772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Hogs |
E375803
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Doug Madsen
Doug Madsen is a middle-aged suburban man and member of a motorcycle-riding friends group in the comedy film "Wild Hogs."
|
E1169297
|
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: Doug Madsen | Statement: [Wild Hogs, hasCharacter, Doug Madsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doug Madsen Context triple: [Wild Hogs, hasCharacter, Doug Madsen]
-
A.
Andrew Detmer
Andrew Detmer is the troubled, telekinetic teenager whose descent into violence drives the found-footage superhero film "Chronicle."
-
B.
Brent Sayers
Brent Sayers is an American music executive and co-founder of the influential independent hip hop label Rhymesayers Entertainment.
-
C.
Shawn Maurer
Shawn Maurer is a film cinematographer known for his work on parody and comedy movies, including the spoof film "Disaster Movie."
-
D.
Josh Sitton
Josh Sitton is a former American football guard best known for his Pro Bowl career with the Green Bay Packers in the NFL.
-
E.
Darrel Anderson
Darrel Anderson is an American artist and illustrator best known for his work on Stephen King’s The Dark Tower series.
- 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: Doug Madsen Triple: [Wild Hogs, hasCharacter, Doug Madsen]
Generated description
Doug Madsen is a middle-aged suburban man and member of a motorcycle-riding friends group in the comedy film "Wild Hogs."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doug Madsen Target entity description: Doug Madsen is a middle-aged suburban man and member of a motorcycle-riding friends group in the comedy film "Wild Hogs."
-
A.
Andrew Detmer
Andrew Detmer is the troubled, telekinetic teenager whose descent into violence drives the found-footage superhero film "Chronicle."
-
B.
Brent Sayers
Brent Sayers is an American music executive and co-founder of the influential independent hip hop label Rhymesayers Entertainment.
-
C.
Shawn Maurer
Shawn Maurer is a film cinematographer known for his work on parody and comedy movies, including the spoof film "Disaster Movie."
-
D.
Josh Sitton
Josh Sitton is a former American football guard best known for his Pro Bowl career with the Green Bay Packers in the NFL.
-
E.
Darrel Anderson
Darrel Anderson is an American artist and illustrator best known for his work on Stephen King’s The Dark Tower series.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb536348190b93ed3c178d1ffb8 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff678ebe288190bd43a72e99e7aa22 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff6883b5048190b64e4361bc89dd80 |
completed | May 9, 2026, 5:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6911a76c819088c8a86d2106b6c6 |
completed | May 9, 2026, 5:04 p.m. |
Created at: April 10, 2026, 4:14 a.m.