Triple

T33158807
Position Surface form Disambiguated ID Type / Status
Subject Kenzo Suzuki E848661 entity
Predicate hasWonTitle P8326 FINISHED
Object AAA World Tag Team Championship
The AAA World Tag Team Championship is a premier professional wrestling tag team title contested in Mexico's Lucha Libre AAA Worldwide promotion.
E2038795 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: AAA World Tag Team Championship | Statement: [Kenzo Suzuki, hasWonTitle, AAA World Tag Team Championship]
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: AAA World Tag Team Championship
Triple: [Kenzo Suzuki, hasWonTitle, AAA World Tag Team Championship]
Generated description
The AAA World Tag Team Championship is a premier professional wrestling tag team title contested in Mexico's Lucha Libre AAA Worldwide promotion.

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_69f3495b02d08190bb3d366823dffc21 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d8f6e3348190905b4ea736ce249c completed May 3, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3516337c5c8190b82e16fa2b434b5e completed June 19, 2026, 10:13 a.m.
NEDg Description generation batch_6a35173b4208819081ae5cb7f63a8a31 completed June 19, 2026, 10:17 a.m.
NED2 Entity disambiguation (via description) batch_6a351b1096ec8190874b8552f485c3fe completed June 19, 2026, 10:33 a.m.
Created at: May 1, 2026, 1:28 a.m.