Triple
T21976929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Bryan |
E542728
|
entity |
| Predicate | trainedBy |
P3665
|
FINISHED |
| Object |
William Regal
William Regal is an English professional wrestling veteran and authority figure renowned for his technical in-ring style, influential training of younger wrestlers, and prominent roles in WWE.
|
E1511478
|
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: William Regal | Statement: [Daniel Bryan, trainedBy, William Regal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Regal Context triple: [Daniel Bryan, trainedBy, William Regal]
-
A.
Kevin Crowley
Kevin Crowley is an actor known for his role in the film "Can't Hurry Love."
-
B.
Scott Steiner
Scott Steiner is an American professional wrestler known for his muscular physique, intense persona, and successful runs in major promotions like WCW and WWE.
-
C.
Lance Storm
Lance Storm is a Canadian professional wrestler best known for his technically precise in-ring style and championship runs in ECW, WCW, and WWE.
-
D.
Kevin Kingston
Kevin Kingston is a young boy character in the family road-trip comedy film "Are We There Yet?"
-
E.
Umaga
Umaga was a Samoan-American professional wrestler best known for his dominant, wild-man persona in WWE during the mid-2000s.
- 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: William Regal Triple: [Daniel Bryan, trainedBy, William Regal]
Generated description
William Regal is an English professional wrestling veteran and authority figure renowned for his technical in-ring style, influential training of younger wrestlers, and prominent roles in WWE.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Regal Target entity description: William Regal is an English professional wrestling veteran and authority figure renowned for his technical in-ring style, influential training of younger wrestlers, and prominent roles in WWE.
-
A.
Kevin Crowley
Kevin Crowley is an actor known for his role in the film "Can't Hurry Love."
-
B.
Scott Steiner
Scott Steiner is an American professional wrestler known for his muscular physique, intense persona, and successful runs in major promotions like WCW and WWE.
-
C.
Lance Storm
Lance Storm is a Canadian professional wrestler best known for his technically precise in-ring style and championship runs in ECW, WCW, and WWE.
-
D.
Kevin Kingston
Kevin Kingston is a young boy character in the family road-trip comedy film "Are We There Yet?"
-
E.
Umaga
Umaga was a Samoan-American professional wrestler best known for his dominant, wild-man persona in WWE during the mid-2000s.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12489889c81909c847cf2f6808d85 |
completed | April 28, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d731c64819099fd3188eda0a5bf |
completed | May 18, 2026, 1:37 a.m. |
| NEDg | Description generation | batch_6a0a6e05677c819082f0613fbf6aeff0 |
completed | May 18, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6e93dfe88190bcddd1802017ddea |
completed | May 18, 2026, 1:42 a.m. |
Created at: April 16, 2026, 8:03 p.m.