Triple

T30805553
Position Surface form Disambiguated ID Type / Status
Subject Till Death Do Us Part E784487 entity
Predicate hasPart P35 FINISHED
Object Ganja Bus
"Ganja Bus" is a reggae-influenced track by the Canadian band Bedouin Soundclash, known for its laid-back groove and collaboration with reggae artist Vernon Maytone.
 E1932376 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: Ganja Bus | Statement: [Till Death Do Us Part, hasPart, Ganja Bus]
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: Ganja Bus
Triple: [Till Death Do Us Part, hasPart, Ganja Bus]
Generated description
"Ganja Bus" is a reggae-influenced track by the Canadian band Bedouin Soundclash, known for its laid-back groove and collaboration with reggae artist Vernon Maytone.

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_69f224b3a7ec819096939414d103e31e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6903e45fc819098bc46010354fefa completed May 3, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28b0b501d4819085e11d066e32f850 completed June 10, 2026, 12:32 a.m.
NEDg Description generation batch_6a28b1ed9b0c8190986159e58593fadf completed June 10, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_6a28b2b2c9fc8190af8deaeceb76e5f9 completed June 10, 2026, 12:41 a.m.
Created at: April 29, 2026, 8:43 p.m.