Triple
T16345326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pastel Blues |
E396914
|
entity |
| Predicate | openingTrack |
P6832
|
FINISHED |
| Object | Be My Husband |
E1209457
|
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: Be My Husband | Statement: [Pastel Blues, openingTrack, Be My Husband]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Be My Husband Context triple: [Pastel Blues, openingTrack, Be My Husband]
-
A.
Be My Husband
chosen
"Be My Husband" is a bluesy, gospel-inflected song famously performed by Nina Simone, noted for its raw vocal delivery and minimalist percussion.
-
B.
My Wife
"My Wife" is a comedic track by The Who from their 1971 album *Who's Next*, written and sung by bassist John Entwistle.
-
C.
You Must Meet My Wife
"You Must Meet My Wife" is a witty, character-revealing duet from Stephen Sondheim’s musical *A Little Night Music*, in which two men discuss one’s seemingly perfect spouse.
-
D.
I Love My Wife
"I Love My Wife" is a 1977 Broadway musical comedy with music by Cy Coleman that satirically explores marriage and the sexual revolution of the 1970s.
-
E.
Honest I Do
"Honest I Do" is a classic blues song by Jimmy Reed, recognized as one of his signature recordings and an influential staple of electric blues.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da0da1808190b6477613a07c7a88 |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0035587c3481908448f75e5a56d2cb |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 5:07 a.m.