Triple
T24611470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Went to Your Wedding |
E609125
|
entity |
| Predicate | releaseYearOfNotableRecording |
P147356
|
FINISHED |
| Object | 1952 |
—
|
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: 1952 | Statement: [I Went to Your Wedding, releaseYearOfNotableRecording, 1952]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: releaseYearOfNotableRecording Context triple: [I Went to Your Wedding, releaseYearOfNotableRecording, 1952]
-
A.
bestKnownRecordingYear
chosen
Indicates the year in which the most notable or widely recognized recording of something was made or released.
-
B.
notableAlbumReleaseYear
Indicates the year in which a notable album associated with the subject was released.
-
C.
recordingReleaseYear
Indicates the calendar year in which a particular recording was first released to the public.
-
D.
recordingYear
Indicates the specific calendar year in which something (such as audio, video, or data) was recorded.
-
E.
recordYear
Indicates the specific year in which something was recorded or documented.
- 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_69e2c4d1140081909c58667bf68f80c3 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.