Triple

T30299136
Position Surface form Disambiguated ID Type / Status
Subject Just Me E770605 entity
Predicate follows P134 FINISHED
Object Sweat
"Sweat" is a song by American rapper and singer Snoop Dogg, released in 2011 and widely known for its David Guetta remix that became a global dance hit.
E1841888 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: Sweat | Statement: [Just Me, follows, Sweat]
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: Sweat
Triple: [Just Me, follows, Sweat]
Generated description
"Sweat" is a song by American rapper and singer Snoop Dogg, released in 2011 and widely known for its David Guetta remix that became a global dance hit.

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_69f224881b948190b8c4921b250a44a3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6813976048190be49bb86744b2fb2 completed May 2, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a276f0c439081909386911de1a99509 completed June 9, 2026, 1:40 a.m.
NEDg Description generation batch_6a2770717d8881909465bda0bfd2bc3f completed June 9, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_6a2771090b2c819093ba86e955af7d1c completed June 9, 2026, 1:48 a.m.
Created at: April 29, 2026, 7:48 p.m.