Triple

T35808294
Position Surface form Disambiguated ID Type / Status
Subject World Wonder Ring Stardom E1035159 entity
Predicate hasNotableAlumni P51 FINISHED
Object Momo Watanabe
Momo Watanabe is a Japanese professional wrestler best known for her work in the World Wonder Ring Stardom promotion, where she has been a prominent champion and faction member.
E2290713 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: Momo Watanabe | Statement: [World Wonder Ring Stardom, hasNotableAlumni, Momo Watanabe]
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: Momo Watanabe
Triple: [World Wonder Ring Stardom, hasNotableAlumni, Momo Watanabe]
Generated description
Momo Watanabe is a Japanese professional wrestler best known for her work in the World Wonder Ring Stardom promotion, where she has been a prominent champion and faction member.

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_69f76e1762408190b885a8456862e372 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a8d99eb481908dafe92649880c5a completed May 3, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5bf2858d1c8190a013d105dffa36ef completed July 18, 2026, 9:39 p.m.
NEDg Description generation batch_6a5bf342e86c81908edd4ad2971efe28 completed July 18, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_6a5bf39c467c819088d0232e2e7440ed completed July 18, 2026, 9:43 p.m.
Created at: May 3, 2026, 4:06 p.m.