Triple

T23828200
Position Surface form Disambiguated ID Type / Status
Subject Batuka E589439 entity
Predicate performer P1363 FINISHED
Object José Chepito Areas
José "Chepito" Areas is a Nicaraguan percussionist best known as a founding member of Santana, where his innovative timbales and conga playing helped define the band’s Latin rock sound.
E1612584 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: José Chepito Areas | Statement: [Batuka, performer, José Chepito Areas]
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: José Chepito Areas
Triple: [Batuka, performer, José Chepito Areas]
Generated description
José "Chepito" Areas is a Nicaraguan percussionist best known as a founding member of Santana, where his innovative timbales and conga playing helped define the band’s Latin rock sound.

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_69e25d1922d481909cab567c06a802ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c7f304f08190bd965df06f013b3f completed April 29, 2026, 8:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e5a687c8190910e6c97fe48be87 completed May 21, 2026, 9:51 p.m.
NEDg Description generation batch_6a0f7f21e3608190b646947083391923 completed May 21, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0f7fc9437c8190999551269a49fb65 completed May 21, 2026, 9:57 p.m.
Created at: April 17, 2026, 8 p.m.