Triple

T38456519
Position Surface form Disambiguated ID Type / Status
Subject Benjamin Flores Jr. E912332 entity
Predicate notableRole P22 FINISHED
Object Triple G in Game Shakers
Triple G in Game Shakers is a main character on the Nickelodeon sitcom "Game Shakers," portrayed as the fun-loving, gaming-obsessed son of rap mogul Double G.
E2271113 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: Triple G in Game Shakers | Statement: [Benjamin Flores Jr., notableRole, Triple G in Game Shakers]
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: Triple G in Game Shakers
Triple: [Benjamin Flores Jr., notableRole, Triple G in Game Shakers]
Generated description
Triple G in Game Shakers is a main character on the Nickelodeon sitcom "Game Shakers," portrayed as the fun-loving, gaming-obsessed son of rap mogul Double G.

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_69f76e84e2dc81908badf05b3aafa9ea completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcce0301688190887a84e337a30ba8 completed May 7, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ccaecc948190962f66941740602a completed June 29, 2026, 1:38 a.m.
NEDg Description generation batch_6a41ce5b4f0c8190bcfc3e29c6f0934f completed June 29, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_6a41cedbcb84819097e19d33da9ba767 completed June 29, 2026, 1:48 a.m.
Created at: May 3, 2026, 4:31 p.m.