Triple

T32648897
Position Surface form Disambiguated ID Type / Status
Subject Vanderlyle Crybaby Geeks E834670 entity
Predicate hasNotableLyric P18290 FINISHED
Object Vanderlyle, crybaby, cry
"Vanderlyle, crybaby, cry" is a memorable refrain from The National’s song “Vanderlyle Crybaby Geeks,” known for its emotional, sing-along closing lines.
 E2016660 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: Vanderlyle, crybaby, cry | Statement: [Vanderlyle Crybaby Geeks, hasNotableLyric, Vanderlyle, crybaby, cry]
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: Vanderlyle, crybaby, cry
Triple: [Vanderlyle Crybaby Geeks, hasNotableLyric, Vanderlyle, crybaby, cry]
Generated description
"Vanderlyle, crybaby, cry" is a memorable refrain from The National’s song “Vanderlyle Crybaby Geeks,” known for its emotional, sing-along closing lines.

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_69f3492e773c81908afc10651e46cad3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c75498d081909500df12e49a065c completed May 3, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3492a99a8481909b7afc93f5b9b6d0 completed June 19, 2026, 12:51 a.m.
NEDg Description generation batch_6a34938a58dc8190ab8e23d0b021db8b completed June 19, 2026, 12:55 a.m.
NED2 Entity disambiguation (via description) batch_6a34941dcdbc8190b6549f9be8eb672f completed June 19, 2026, 12:58 a.m.
Created at: May 1, 2026, 1:08 a.m.