Triple
T15959954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man of Constant Sorrow |
E387031
|
entity |
| Predicate | firstKnownPublicationYear |
P62840
|
FINISHED |
| Object | 1913 |
—
|
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: 1913 | Statement: [Man of Constant Sorrow, firstKnownPublicationYear, 1913]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstKnownPublicationYear Context triple: [Man of Constant Sorrow, firstKnownPublicationYear, 1913]
-
A.
firstPublishedInWorkYear
Indicates the year in which a work was first published.
-
B.
firstAssociatedPublicationYear
chosen
Indicates the calendar year in which an entity’s earliest associated publication was first released or made publicly available.
-
C.
firstCompletePublicationYear
Indicates the calendar year in which an entity’s first complete publication was released.
-
D.
firstStandardPublicationYear
Indicates the year in which an entity’s work was first formally published according to a recognized standard or official publication record.
-
E.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.