Triple

T33334285
Position Surface form Disambiguated ID Type / Status
Subject Fats Waller and His Rhythm E853491 entity
Predicate notableWork P4 FINISHED
Object Your Feet's Too Big
"Your Feet's Too Big" is a humorous jazz song popularized by Fats Waller, known for its playful lyrics and lively stride piano style.
 E2046681 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: Your Feet's Too Big | Statement: [Fats Waller and His Rhythm, notableWork, Your Feet's Too Big]
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: Your Feet's Too Big
Triple: [Fats Waller and His Rhythm, notableWork, Your Feet's Too Big]
Generated description
"Your Feet's Too Big" is a humorous jazz song popularized by Fats Waller, known for its playful lyrics and lively stride piano 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_69f34969614c81909cd99661b0902533 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6df4aa3408190b2d1aafb4a759642 completed May 3, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35433bd2488190964c915fc1a5834c completed June 19, 2026, 1:25 p.m.
NEDg Description generation batch_6a35447116408190846fb70cdd5c2095 completed June 19, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_6a35485809fc81909dcb185c08aaf013 completed June 19, 2026, 1:47 p.m.
Created at: May 1, 2026, 1:34 a.m.