Triple

T30805397
Position Surface form Disambiguated ID Type / Status
Subject IV E784484 entity
Predicate previousWork P9710 FINISHED
Object Temples of Boom
Temples of Boom is the third studio album by American hip hop group Cypress Hill, known for its darker, more atmospheric production and hardcore lyrical style.
 E1930487 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: Temples of Boom | Statement: [IV, previousWork, Temples of Boom]
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: Temples of Boom
Triple: [IV, previousWork, Temples of Boom]
Generated description
Temples of Boom is the third studio album by American hip hop group Cypress Hill, known for its darker, more atmospheric production and hardcore lyrical style.

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_6a28b2b51afc81908cae8756f6d9b3a1 completed June 10, 2026, 12:41 a.m.
Created at: April 29, 2026, 8:43 p.m.