Triple
T6530074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CM Punk |
E152208
|
entity |
| Predicate | signatureMove |
P15416
|
FINISHED |
| Object |
Anaconda Vise
Anaconda Vise is a professional wrestling submission hold popularized by CM Punk, involving a modified arm-trap headlock that targets an opponent’s shoulder and neck.
|
E600037
|
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: Anaconda Vise | Statement: [CM Punk, signatureMove, Anaconda Vise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anaconda Vise Context triple: [CM Punk, signatureMove, Anaconda Vise]
-
A.
Anaconda
Anaconda is a 1997 adventure-horror film about a documentary crew in the Amazon that encounters a giant, deadly snake.
-
B.
Anaconda
Anaconda is a historic former copper mining town in southwestern Montana known for its towering smelter stack and surrounding mountain recreation areas.
-
C.
Anaconda
"Anaconda" is a 2014 hip hop single by Nicki Minaj, best known for its Sir Mix-a-Lot–sampling beat, provocative lyrics, and viral music video.
-
D.
Constrictor
Constrictor is a water slide attraction at Wet'n'Wild Gold Coast known for its tight twists and high-speed tube-style turns.
-
E.
Cobra
Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
- 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: Anaconda Vise Triple: [CM Punk, signatureMove, Anaconda Vise]
Generated description
Anaconda Vise is a professional wrestling submission hold popularized by CM Punk, involving a modified arm-trap headlock that targets an opponent’s shoulder and neck.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anaconda Vise Target entity description: Anaconda Vise is a professional wrestling submission hold popularized by CM Punk, involving a modified arm-trap headlock that targets an opponent’s shoulder and neck.
-
A.
Anaconda
Anaconda is a 1997 adventure-horror film about a documentary crew in the Amazon that encounters a giant, deadly snake.
-
B.
Anaconda
Anaconda is a historic former copper mining town in southwestern Montana known for its towering smelter stack and surrounding mountain recreation areas.
-
C.
Anaconda
"Anaconda" is a 2014 hip hop single by Nicki Minaj, best known for its Sir Mix-a-Lot–sampling beat, provocative lyrics, and viral music video.
-
D.
Constrictor
Constrictor is a water slide attraction at Wet'n'Wild Gold Coast known for its tight twists and high-speed tube-style turns.
-
E.
Cobra
Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adac53b0819097fece48a75cc48f |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb7a85dc8190a97138a20728b43f |
completed | March 27, 2026, 6:24 p.m. |
| NEDg | Description generation | batch_69c6cd05c54c81908bb612e7976bd10a |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cdc3ea7c8190b63e9a19721fea80 |
completed | March 27, 2026, 6:34 p.m. |
Created at: March 27, 2026, 1:46 p.m.