Triple

T23180761
Position Surface form Disambiguated ID Type / Status
Subject When My Blue Moon Turns to Gold Again E579453 entity
Predicate lyricist P1360 FINISHED
Object Gene Sullivan
Gene Sullivan was an American country and western songwriter and musician best known for co-writing the classic song "When My Blue Moon Turns to Gold Again."
E1601198 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: Gene Sullivan | Statement: [When My Blue Moon Turns to Gold Again, lyricist, Gene Sullivan]
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: Gene Sullivan
Triple: [When My Blue Moon Turns to Gold Again, lyricist, Gene Sullivan]
Generated description
Gene Sullivan was an American country and western songwriter and musician best known for co-writing the classic song "When My Blue Moon Turns to Gold Again."

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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f6ebff48190ad1543051ca0239b completed April 29, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f536d29e481908ec66efba74553a9 completed May 21, 2026, 6:48 p.m.
NEDg Description generation batch_6a0f551a7f648190ac2364cbd1ef3091 completed May 21, 2026, 6:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f55c4f3fc8190957279b36bbb0ffd completed May 21, 2026, 6:58 p.m.
Created at: April 17, 2026, 4:05 p.m.