Triple
T7951451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadliest Warrior |
E184622
|
entity |
| Predicate | featuresHost |
P42287
|
FINISHED |
| Object |
Geoff Desmoulin
Geoff Desmoulin is a Canadian biomechanical engineer and stunt expert best known as a co-host and scientific analyst on the television series "Deadliest Warrior."
|
E705058
|
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: Geoff Desmoulin | Statement: [Deadliest Warrior, featuresHost, Geoff Desmoulin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoff Desmoulin Context triple: [Deadliest Warrior, featuresHost, Geoff Desmoulin]
-
A.
Geoff Pierson
Geoff Pierson is an American actor known for his work in television dramas and comedies, including prominent roles on shows like Dexter and Unhappily Ever After.
-
B.
Jeff Gourson
Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
-
C.
Alex de Grassi
Alex de Grassi is an American acoustic guitarist and composer renowned for his intricate fingerstyle technique and influential instrumental recordings in contemporary folk and new-age music.
-
D.
Eric Thibault
Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
-
E.
Mike Brereton
Mike Brereton is an athlete known for playing with the sports team The Warriors.
- 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: Geoff Desmoulin Triple: [Deadliest Warrior, featuresHost, Geoff Desmoulin]
Generated description
Geoff Desmoulin is a Canadian biomechanical engineer and stunt expert best known as a co-host and scientific analyst on the television series "Deadliest Warrior."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Geoff Desmoulin Target entity description: Geoff Desmoulin is a Canadian biomechanical engineer and stunt expert best known as a co-host and scientific analyst on the television series "Deadliest Warrior."
-
A.
Geoff Pierson
Geoff Pierson is an American actor known for his work in television dramas and comedies, including prominent roles on shows like Dexter and Unhappily Ever After.
-
B.
Jeff Gourson
Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
-
C.
Alex de Grassi
Alex de Grassi is an American acoustic guitarist and composer renowned for his intricate fingerstyle technique and influential instrumental recordings in contemporary folk and new-age music.
-
D.
Eric Thibault
Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
-
E.
Mike Brereton
Mike Brereton is an athlete known for playing with the sports team The Warriors.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5c95908190b6ee900d2b324574 |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0530b8881908e35b10917e69899 |
completed | March 31, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69cc46bfad4081908de1667b8a10ed0a |
completed | March 31, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc47e7167881908dce54e8b4615900 |
completed | March 31, 2026, 10:17 p.m. |
Created at: March 30, 2026, 5:10 p.m.