Triple
T30160687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "There'll be bluebirds over the white cliffs of Dover, tomorrow, just you wait and see" |
E766654
|
entity |
| Predicate | yearOfSongOrigin |
P114546
|
FINISHED |
| Object | 1941 |
—
|
LITERAL 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: 1941 | Statement: ["There'll be bluebirds over the white cliffs of Dover, tomorrow, just you wait and see", yearOfSongOrigin, 1941]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfSongOrigin Context triple: ["There'll be bluebirds over the white cliffs of Dover, tomorrow, just you wait and see", yearOfSongOrigin, 1941]
-
A.
originalReleaseYearOfSourceSong
chosen
Indicates the calendar year in which the source song was first officially released.
-
B.
hasOriginalSongReleaseDecade
Indicates the decade during which the original version of a song was first released.
-
C.
originYear
Indicates the year in which something first originated, was created, or began.
-
D.
yearOfMusical
Indicates the year in which a musical was first produced, released, or premiered.
-
E.
compositionYear
Indicates the year in which a work (such as a piece of music, art, or literature) was originally created or composed.
- F. None of above.
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_69f2247a968881909d79c18f2bfcb275 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 29, 2026, 7:21 p.m.