Triple
T13348819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edge |
E318020
|
entity |
| Predicate | trainedBy |
P3665
|
FINISHED |
| Object |
Ron Hutchison
Ron Hutchison is a respected Canadian professional wrestling trainer and former wrestler known for mentoring numerous successful performers, including WWE star Edge.
|
E1036125
|
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: Ron Hutchison | Statement: [Edge, trainedBy, Ron Hutchison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Hutchison Context triple: [Edge, trainedBy, Ron Hutchison]
-
A.
Ken Hutchison
Ken Hutchison was a Scottish actor known for his intense character roles in film and television during the 1970s and 1980s.
-
B.
Ray Hutchison
Ray Hutchison was an American lawyer and Republican politician from Texas who served in the state legislature and was married to U.S. Senator Kay Bailey Hutchison.
-
C.
Ken Scott
Ken Scott is a Canadian screenwriter and director known for films such as "Starbuck," "Delivery Man," and "The Grand Seduction."
-
D.
Ken Scott
Ken Scott is a renowned British record producer and audio engineer best known for his work with artists such as David Bowie, The Beatles, and Elton John.
-
E.
Ken McMillan
Ken McMillan is a prominent computer scientist known for his influential work in formal verification and model checking.
- 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: Ron Hutchison Triple: [Edge, trainedBy, Ron Hutchison]
Generated description
Ron Hutchison is a respected Canadian professional wrestling trainer and former wrestler known for mentoring numerous successful performers, including WWE star Edge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ron Hutchison Target entity description: Ron Hutchison is a respected Canadian professional wrestling trainer and former wrestler known for mentoring numerous successful performers, including WWE star Edge.
-
A.
Ken Hutchison
Ken Hutchison was a Scottish actor known for his intense character roles in film and television during the 1970s and 1980s.
-
B.
Ray Hutchison
Ray Hutchison was an American lawyer and Republican politician from Texas who served in the state legislature and was married to U.S. Senator Kay Bailey Hutchison.
-
C.
Ken Scott
Ken Scott is a Canadian screenwriter and director known for films such as "Starbuck," "Delivery Man," and "The Grand Seduction."
-
D.
Ken Scott
Ken Scott is a renowned British record producer and audio engineer best known for his work with artists such as David Bowie, The Beatles, and Elton John.
-
E.
Ken McMillan
Ken McMillan is a prominent computer scientist known for his influential work in formal verification and model checking.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8b28e48190a23194e03a74b41b |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f726738ea08190b0b7634b29f5d94e |
completed | May 3, 2026, 10:41 a.m. |
| NEDg | Description generation | batch_69f7270bf9308190a3e9427ffce0e3ee |
completed | May 3, 2026, 10:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f727d063c4819084b4990a0d759f79 |
completed | May 3, 2026, 10:47 a.m. |
Created at: April 9, 2026, 9:31 p.m.