Triple
T22224478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Roses for a Blue Lady |
E549298
|
entity |
| Predicate | bestKnownRecordingYear |
P147356
|
FINISHED |
| Object | 1965 |
—
|
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: 1965 | Statement: [Red Roses for a Blue Lady, bestKnownRecordingYear, 1965]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestKnownRecordingYear Context triple: [Red Roses for a Blue Lady, bestKnownRecordingYear, 1965]
-
A.
recordingYear
Indicates the specific calendar year in which something (such as audio, video, or data) was recorded.
-
B.
recordYear
Indicates the specific year in which something was recorded or documented.
-
C.
recordStartYear
Indicates the calendar year in which a particular record, entry, or data instance first began or was created.
-
D.
reRecordedReleaseYear
Indicates the year in which an existing work was recorded again and that re-recorded version was released.
-
E.
recordingReleaseYear
Indicates the calendar year in which a particular recording was first released to the public.
- F. None of above. chosen
Provenance (4 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b93e2208190aee70ffd82962ea0 |
completed | April 28, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e723f65c5c8190a0ee3c539e5d0767 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 8:37 p.m.