Triple

T28434145
Position Surface form Disambiguated ID Type / Status
Subject Almighty So E715215 entity
Predicate hasTrack P3284 FINISHED
Object Baby What’s Wrong With You
"Baby What’s Wrong With You" is a track by Chicago rapper Chief Keef from his cult-favorite mixtape *Almighty So*, known for its raw drill sound and unpolished, experimental style.
E1817684 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: Baby What’s Wrong With You | Statement: [Almighty So, hasTrack, Baby What’s Wrong With You]
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: Baby What’s Wrong With You
Triple: [Almighty So, hasTrack, Baby What’s Wrong With You]
Generated description
"Baby What’s Wrong With You" is a track by Chicago rapper Chief Keef from his cult-favorite mixtape *Almighty So*, known for its raw drill sound and unpolished, experimental style.

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_69efd6b253888190b3c7222ed6a403a8 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f64e37f7fc819083809149b6661e3c completed May 2, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16332921608190bcabc427d094b9f8 completed May 26, 2026, 11:56 p.m.
NEDg Description generation batch_6a163560594081908c70213f08ef3f83 completed May 27, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_6a1639a6eae881909596f0e21af432a5 completed May 27, 2026, 12:24 a.m.
Created at: April 28, 2026, 1:41 a.m.