Triple
T11404682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gershwin estate |
E270205
|
entity |
| Predicate | hasRightsOver |
P39434
|
FINISHED |
| Object | A Foggy Day |
E224448
|
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: A Foggy Day | Statement: [Gershwin estate, hasRightsOver, A Foggy Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Foggy Day Context triple: [Gershwin estate, hasRightsOver, A Foggy Day]
-
A.
A Foggy Day
chosen
"A Foggy Day" is a popular jazz and pop standard composed by George and Ira Gershwin, widely recorded by vocalists and instrumentalists since its 1937 debut.
-
B.
A Rainy Day
"A Rainy Day" is a song composed by American songwriter Arthur Schwartz, best known as part of his contributions to classic 20th-century popular and theatrical music.
-
C.
The Rainy Day
"The Rainy Day" is a reflective poem by Henry Wadsworth Longfellow that meditates on sorrow, perseverance, and the hope that follows life's storms.
-
D.
Uncloudy Day
"Uncloudy Day" is a traditional Christian hymn, often associated with gospel and country music, that has been widely recorded and adapted by various artists.
-
E.
Misty Morning
Misty Morning is a song by Jamaican reggae artist Kaya, known for its mellow, atmospheric sound and reflective mood.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014ab46881909fa1d425926c617b |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58d56608481908dbb19daa2abfc0a |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 8, 2026, 9:34 p.m.