Triple

T26194081
Position Surface form Disambiguated ID Type / Status
Subject Songs to Warm the Heart E655047 entity
Predicate hasTrack P3284 FINISHED
Object Someday (You'll Want Me to Want You)
"Someday (You'll Want Me to Want You)" is a popular country and pop standard, widely covered since the mid-20th century for its melancholic theme of unrequited love and eventual regret.
 E1714140 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: Someday (You'll Want Me to Want You) | Statement: [Songs to Warm the Heart, hasTrack, Someday (You'll Want Me to Want 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: Someday (You'll Want Me to Want You)
Triple: [Songs to Warm the Heart, hasTrack, Someday (You'll Want Me to Want You)]
Generated description
"Someday (You'll Want Me to Want You)" is a popular country and pop standard, widely covered since the mid-20th century for its melancholic theme of unrequited love and eventual regret.

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_69ee5b48236c81908fe385b6afc4f60b completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60ca50d0081909d146f3c697227aa completed May 2, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11857c617c8190bc8f63f4916f35b7 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a11861e622c8190a73ab247d696435a completed May 23, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a1186bd48e48190a397267a101ef076 completed May 23, 2026, 10:51 a.m.
Created at: April 26, 2026, 8:45 p.m.