Triple

T31925807
Position Surface form Disambiguated ID Type / Status
Subject South Africa national rugby sevens team E815105 entity
Predicate notablePlayer P304 FINISHED
Object Seabelo Senatla
Seabelo Senatla is a South African rugby union and sevens star renowned for his exceptional speed and prolific try-scoring on the World Rugby Sevens Series.
E1984158 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: Seabelo Senatla | Statement: [South Africa national rugby sevens team, notablePlayer, Seabelo Senatla]
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: Seabelo Senatla
Triple: [South Africa national rugby sevens team, notablePlayer, Seabelo Senatla]
Generated description
Seabelo Senatla is a South African rugby union and sevens star renowned for his exceptional speed and prolific try-scoring on the World Rugby Sevens Series.

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_69f348f1df848190851bbfb988da3414 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b21e7e088190832a3db585daea1c completed May 3, 2026, 2:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e8a364b108190b9c6bc0e7210e739 completed June 14, 2026, 11:02 a.m.
NEDg Description generation batch_6a2e8af44d208190a478474dbd7d0178 completed June 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_6a2e8bea3a60819088295cb1c20f0f69 completed June 14, 2026, 11:09 a.m.
Created at: May 1, 2026, 12:03 a.m.