Triple

T29752041
Position Surface form Disambiguated ID Type / Status
Subject Let’s Get It: Thug Motivation 101 E752925 entity
Predicate hasTrack P3284 FINISHED
Object Bottom of the Map
"Bottom of the Map" is a Southern hip hop track by Young Jeezy from his debut studio album "Let’s Get It: Thug Motivation 101," showcasing his gritty trap-influenced style and regional pride.
E1882864 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: Bottom of the Map | Statement: [Let’s Get It: Thug Motivation 101, hasTrack, Bottom of the Map]
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: Bottom of the Map
Triple: [Let’s Get It: Thug Motivation 101, hasTrack, Bottom of the Map]
Generated description
"Bottom of the Map" is a Southern hip hop track by Young Jeezy from his debut studio album "Let’s Get It: Thug Motivation 101," showcasing his gritty trap-influenced style and regional pride.

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_69f0d62c84cc8190846f80ae04fdf8ec completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f6736b9c748190a53ea1b926c7cc5b completed May 2, 2026, 9:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26aa9511488190b76043cd8b962c12 completed June 8, 2026, 11:42 a.m.
NEDg Description generation batch_6a26b5b9f88081908397b3dcaa4f3600 completed June 8, 2026, 12:29 p.m.
NED2 Entity disambiguation (via description) batch_6a26b98d6b14819088d658a7a9678417 completed June 8, 2026, 12:46 p.m.
Created at: April 28, 2026, 7:54 p.m.