Triple

T29780255
Position Surface form Disambiguated ID Type / Status
Subject Right Here (Departed) remix featuring The Game E755493 entity
Predicate featuredArtist P997 FINISHED
Object The Game
The Game is an American rapper from Compton, California, known for his role in revitalizing West Coast hip hop in the mid-2000s and for albums like "The Documentary."
E65586 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: The Game | Statement: [Right Here (Departed) remix featuring The Game, featuredArtist, The Game]
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: The Game
Triple: [Right Here (Departed) remix featuring The Game, featuredArtist, The Game]
Generated description
The Game is an American rapper from Compton, California, known for his role in revitalizing West Coast hip hop in the mid-2000s and for albums like "The Documentary."

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_69f0ef878574819088c867fd1a5c8b86 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f674a5255881909f8acde55207e894 completed May 2, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26c8ffe490819085e17a59638932fa completed June 8, 2026, 1:52 p.m.
NEDg Description generation batch_6a26cda9e7b88190861c905b18256801 completed June 8, 2026, 2:11 p.m.
NED2 Entity disambiguation (via description) batch_6a26d3faa9d08190aa5f45736d43db74 completed June 8, 2026, 2:38 p.m.
Created at: April 28, 2026, 8:50 p.m.