Triple

T24202479
Position Surface form Disambiguated ID Type / Status
Subject Drew McIntyre E600017 entity
Predicate signatureMove P15416 FINISHED
Object Future Shock DDT
Future Shock DDT is a professional wrestling finishing maneuver popularized by WWE star Drew McIntyre, involving a double underhook DDT that drives an opponent’s head into the mat.
E1625676 NE FINISHED

How this triple was built (2 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: Future Shock DDT | Statement: [Drew McIntyre, signatureMove, Future Shock DDT]
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: Future Shock DDT
Triple: [Drew McIntyre, signatureMove, Future Shock DDT]
Generated description
Future Shock DDT is a professional wrestling finishing maneuver popularized by WWE star Drew McIntyre, involving a double underhook DDT that drives an opponent’s head into the mat.

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_69e288ceaab88190899d0acb5931591d completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f27ca2d6708190ba20d00870d0af49 completed April 29, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbd14e1dc8190ae43fd32255b7e19 completed May 22, 2026, 2:19 a.m.
NEDg Description generation batch_6a0fbe78822881909e04f037a60db091 completed May 22, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbf0ed7808190b64797da02f8fbac completed May 22, 2026, 2:27 a.m.
Created at: April 17, 2026, 11:36 p.m.