Triple
T5727530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ira Gershwin |
E126300
|
entity |
| Predicate | notableWork |
P4
|
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: [Ira Gershwin, notableWork, A Foggy Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Foggy Day Context triple: [Ira Gershwin, notableWork, 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.
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.
-
C.
Frost on Sunday
Frost on Sunday was a British television talk show hosted by journalist and broadcaster David Frost, known for its incisive interviews and topical discussions.
-
D.
Daylight
Daylight is a 1996 disaster thriller film starring Sylvester Stallone, centered on a group of survivors trapped in a collapsed tunnel beneath the Hudson River.
-
E.
Thank You, Fog
"Thank You, Fog" is a posthumously published collection of poems by W. H. Auden that reflects his late style and meditations on aging, mortality, and faith.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0250c0ca081909340abae204cc226 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a8a1d08819080f071eb22db54d3 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:47 p.m.