Triple

T24246248
Position Surface form Disambiguated ID Type / Status
Subject And Then... E603380 entity
Predicate hasTrack P3284 FINISHED
Object You Dropped Your Dime
"You Dropped Your Dime" is a song featured on the album *And Then...*, likely reflecting the record’s blend of contemporary R&B and hip-hop–influenced tracks.
 E1626580 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: You Dropped Your Dime | Statement: [And Then..., hasTrack, You Dropped Your Dime]
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: You Dropped Your Dime
Triple: [And Then..., hasTrack, You Dropped Your Dime]
Generated description
"You Dropped Your Dime" is a song featured on the album *And Then...*, likely reflecting the record’s blend of contemporary R&B and hip-hop–influenced tracks.

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_69e2953f631c819097cbb421046bd417 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28b85349481909c21dacd48df7b8e completed April 29, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbd35bf088190aae000ccc4b22017 completed May 22, 2026, 2:19 a.m.
NEDg Description generation batch_6a0fbee12e748190ac0d28656458a335 completed May 22, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0fc2b76df88190b6bcba834def7619 completed May 22, 2026, 2:43 a.m.
Created at: April 18, 2026, 12:04 a.m.