Triple
T29839323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Greek Passion |
E757740
|
entity |
| Predicate | secondVersionCompletionYear |
P87822
|
FINISHED |
| Object | 1957 |
—
|
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: 1957 | Statement: [The Greek Passion, secondVersionCompletionYear, 1957]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondVersionCompletionYear Context triple: [The Greek Passion, secondVersionCompletionYear, 1957]
-
A.
secondInstallmentReleaseYear
Indicates the year in which the second installment of a series or sequence is released.
-
B.
secondCreationYear
chosen
Indicates the year in which an entity was created for the second time, such as after being recreated, relaunched, or re-established.
-
C.
secondVersion
Indicates that one entity is a later or updated second version of another entity.
-
D.
secondIssueYear
Indicates the year in which an entity was issued for the second time, such as a second edition, release, or publication.
-
E.
secondAppearanceYear
Indicates the year in which an entity made its second appearance or occurrence.
- 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_69f224593f6c81908785a560fe659f58 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: April 29, 2026, 5:38 p.m.