Triple
T14660046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If the World Was Ending |
E344212
|
entity |
| Predicate | charityVersionReleaseYear |
P115241
|
FINISHED |
| Object | 2020 |
—
|
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: 2020 | Statement: [If the World Was Ending, charityVersionReleaseYear, 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: charityVersionReleaseYear Context triple: [If the World Was Ending, charityVersionReleaseYear, 2020]
-
A.
donationYear
Indicates the specific calendar year in which a donation or gift was made.
-
B.
charityNumber
Indicates that an entity is associated with a specific registered charity identification number.
-
C.
bestKnownVersionReleaseYear
Indicates the calendar year in which the most widely recognized or prominent version of something was released.
-
D.
brandLaunchYear
Indicates the calendar year in which a brand was first introduced or launched to the market.
-
E.
version1.1ReleaseYear
Indicates the year in which version 1.1 of something (e.g., a product, software, or standard) was released.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51c84448190a1f5fa9ab8a1e2c4 |
completed | April 14, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:27 a.m.