Triple

T35938868
Position Surface form Disambiguated ID Type / Status
Subject Obrafour E1039379 entity
Predicate associatedAct P37 FINISHED
Object Hammer of The Last Two
Hammer of The Last Two is a renowned Ghanaian music producer and sound engineer known for shaping the hiplife genre and working with prominent artists such as Obrafour.
 E2162314 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: Hammer of The Last Two | Statement: [Obrafour, associatedAct, Hammer of The Last Two]
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: Hammer of The Last Two
Triple: [Obrafour, associatedAct, Hammer of The Last Two]
Generated description
Hammer of The Last Two is a renowned Ghanaian music producer and sound engineer known for shaping the hiplife genre and working with prominent artists such as Obrafour.

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_69f76e24bbd0819096b837d35371639a completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7abad3fa48190a668f4f4faa61f25 completed May 3, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38ae426d808190a82fd61e478c23a4 completed June 22, 2026, 3:38 a.m.
NEDg Description generation batch_6a38b0c2f8f081908eea0e63004becf4 completed June 22, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_6a38b13be66c819080169ff6c27cea74 completed June 22, 2026, 3:51 a.m.
Created at: May 3, 2026, 4:07 p.m.