Triple
T35623391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Please, Mr. Sun |
E1029377
|
entity |
| Predicate | hasOriginalReleasePeriod |
P121084
|
FINISHED |
| Object | early 1950s |
—
|
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: early 1950s | Statement: [Please, Mr. Sun, hasOriginalReleasePeriod, early 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalReleasePeriod Context triple: [Please, Mr. Sun, hasOriginalReleasePeriod, early 1950s]
-
A.
basedOnOriginalReleaseYear
Indicates that something is derived from, organized by, or determined according to the year in which the original version of a work was first released.
-
B.
hasOriginalAlbumRelease
Indicates that an album or musical work is associated with its first official release instance or edition.
-
C.
originallyReleasedOn
Indicates the date or platform on which something (such as a work, product, or media item) was first made publicly available.
-
D.
hasOriginalSongReleaseContext
Indicates that an original song is associated with a specific context in which it was first released (such as an event, medium, or setting).
-
E.
hasOriginalSongReleaseDecade
chosen
Indicates the decade during which the original version of a song was first released.
- 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_69f76e0709408190bbe322bf1707ef6b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fed357b2b4819084c709056a54461f |
completed | May 9, 2026, 6:25 a.m. |
| PD | Predicate disambiguation | batch_69fed103d9cc81909b11619745110c61 |
completed | May 9, 2026, 6:15 a.m. |
Created at: May 3, 2026, 4:05 p.m.