Triple
T15293492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nacio Herb Brown |
E365589
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Good Morning |
E121977
|
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: Good Morning | Statement: [Nacio Herb Brown, notableWork, Good Morning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Morning Context triple: [Nacio Herb Brown, notableWork, Good Morning]
-
A.
Good Morning
chosen
"Good Morning" is a classic show tune best known from the 1939 musical film *Babes in Arms* and later popularized in *Singin' in the Rain*.
-
B.
Good Morning
"Good Morning" is a vibrant abstract painting by British artist Howard Hodgkin, known for its expressive brushwork and intense, layered color.
-
C.
Your Morning
"Your Morning" is a Canadian weekday morning television show that combines news, lifestyle segments, and entertainment, airing nationally as a successor to "Canada AM."
-
D.
Good Morning Love
"Good Morning Love" is a romantic song, likely a track from the music project or album "Let Love."
-
E.
Every Morning
"Every Morning" is a 1999 pop-rock single by American band Sugar Ray that became one of their biggest hits and a defining song of late-1990s radio.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03682ea488190ac82fdbd0e855d34 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7f2fc08190937226dad5fdc9c6 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.