Triple

T25770320
Position Surface form Disambiguated ID Type / Status
Subject Back at the Chicken Shack E649000 entity
Predicate hasTrack P3284 FINISHED
Object When I Grow Too Old to Dream
"When I Grow Too Old to Dream" is a popular 1934 standard by Sigmund Romberg and Oscar Hammerstein II that has been widely covered in jazz and pop music.
E1694394 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: When I Grow Too Old to Dream | Statement: [Back at the Chicken Shack, hasTrack, When I Grow Too Old to Dream]
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: When I Grow Too Old to Dream
Triple: [Back at the Chicken Shack, hasTrack, When I Grow Too Old to Dream]
Generated description
"When I Grow Too Old to Dream" is a popular 1934 standard by Sigmund Romberg and Oscar Hammerstein II that has been widely covered in jazz and pop music.

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_69e7ab322db0819092d6a2b3d4572e01 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f5fdf7917881909cd43323e3507cd5 completed May 2, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10cc1ca7648190953465e0159f3a8d completed May 22, 2026, 9:35 p.m.
NEDg Description generation batch_6a10cd0673f88190b2bebf8702254035 completed May 22, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_6a10cdbc645881909f0c2da445ee41f6 completed May 22, 2026, 9:42 p.m.
Created at: April 22, 2026, 5:14 a.m.