Triple

T36992270
Position Surface form Disambiguated ID Type / Status
Subject Darren Sammy E915136 entity
Predicate fullName P16 FINISHED
Object Darren Julius Garvey Sammy
Darren Julius Garvey Sammy is a former West Indies cricketer and captain, renowned for leading the team to two ICC T20 World Cup titles and later serving as a coach and cricket administrator.
E2208558 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: Darren Julius Garvey Sammy | Statement: [Darren Sammy, fullName, Darren Julius Garvey Sammy]
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: Darren Julius Garvey Sammy
Triple: [Darren Sammy, fullName, Darren Julius Garvey Sammy]
Generated description
Darren Julius Garvey Sammy is a former West Indies cricketer and captain, renowned for leading the team to two ICC T20 World Cup titles and later serving as a coach and cricket administrator.

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_69f76e8f1a8c81909db172ed31304971 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9ffde27c48190a97a75f6cb896fa0 completed May 5, 2026, 2:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e5760720c8190b295be8936383fc5 completed June 26, 2026, 10:41 a.m.
NEDg Description generation batch_6a3e5931ce08819080758885f22bda3a completed June 26, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a3e5f3d909c8190b6799371d945e534 completed June 26, 2026, 11:15 a.m.
Created at: May 3, 2026, 4:14 p.m.