Triple
T11019868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perfect Moment |
E260458
|
entity |
| Predicate | originalVersionReleaseYear |
P51515
|
FINISHED |
| Object | 1997 |
—
|
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: 1997 | Statement: [Perfect Moment, originalVersionReleaseYear, 1997]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalVersionReleaseYear Context triple: [Perfect Moment, originalVersionReleaseYear, 1997]
-
A.
originalStudioVersionReleaseYear
Indicates the calendar year in which the original studio-produced version of a work was first released.
-
B.
bestKnownVersionReleaseYear
Indicates the calendar year in which the most widely recognized or prominent version of something was released.
-
C.
firstVersionYear
chosen
Indicates the calendar year in which the first version or initial release of something was created, published, or made available.
-
D.
originYear
Indicates the year in which something first originated, was created, or began.
-
E.
originalRelease
Indicates the initial publication or first official release event of a work or product.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797baad408190a53fd6941a750f68 |
completed | April 9, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69d72e995e008190bbffb314129ed0cd |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.