Triple

T34309544
Position Surface form Disambiguated ID Type / Status
Subject Big Kuntry King E880402 entity
Predicate notableWork P4 FINISHED
Object My Turn to Eat
"My Turn to Eat" is a hip hop album by rapper Big Kuntry King, known for showcasing his Southern rap style and affiliation with Grand Hustle Records.
 E2089193 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: My Turn to Eat | Statement: [Big Kuntry King, notableWork, My Turn to Eat]
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: My Turn to Eat
Triple: [Big Kuntry King, notableWork, My Turn to Eat]
Generated description
"My Turn to Eat" is a hip hop album by rapper Big Kuntry King, known for showcasing his Southern rap style and affiliation with Grand Hustle Records.

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_69f349b8bb6c8190ad12a7957a574f04 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71364d27c8190914213fed8edd0ab completed May 3, 2026, 9:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36e63f22808190a1e68a70d76d372e completed June 20, 2026, 7:13 p.m.
NEDg Description generation batch_6a36e93435048190b51cb9e7ecab281c completed June 20, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_6a36e9bb55ac819087e417973a23fa0b completed June 20, 2026, 7:27 p.m.
Created at: May 1, 2026, 1:57 a.m.