Triple

T18975849
Position Surface form Disambiguated ID Type / Status
Subject 2023 World Artistic Gymnastics Championships E464292 entity
Predicate menParallelBarsGold P15190 FINISHED
Object Kenta Chiba
Kenta Chiba is a Japanese artistic gymnast known for winning the men's parallel bars title at the 2023 World Artistic Gymnastics Championships.
E2292372 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: Kenta Chiba | Statement: [2023 World Artistic Gymnastics Championships, menParallelBarsGold, Kenta Chiba]
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: Kenta Chiba
Triple: [2023 World Artistic Gymnastics Championships, menParallelBarsGold, Kenta Chiba]
Generated description
Kenta Chiba is a Japanese artistic gymnast known for winning the men's parallel bars title at the 2023 World Artistic Gymnastics Championships.

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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d61f96c88190b9a25158e0b012ca completed April 20, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a687b041d288190999d18db22f3eead completed July 28, 2026, 9:48 a.m.
NEDg Description generation batch_6a687b92d338819099f2db3e27624734 completed July 28, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_6a687da5e32c8190b731ca487bb7e83c completed July 28, 2026, 10 a.m.
Created at: April 10, 2026, noon