Triple
T30805877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazy Davy |
E784495
|
entity |
| Predicate | firstPublicationDateOfContainingWork |
P60473
|
FINISHED |
| Object | 1973 |
—
|
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: 1973 | Statement: [Hazy Davy, firstPublicationDateOfContainingWork, 1973]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicationDateOfContainingWork Context triple: [Hazy Davy, firstPublicationDateOfContainingWork, 1973]
-
A.
firstPublicationOfContainingWork
Indicates that the related entity is the earliest published work in which the referenced work or content first appeared.
-
B.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
-
C.
firstPublicationIn
Indicates the initial venue, medium, or context in which a work was first published.
-
D.
firstPublishedInWorkYear
chosen
Indicates the year in which a work was first published.
-
E.
firstPublishedWork
Indicates that one work is the earliest piece created or released by a particular creator or entity.
- 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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0337c7389c8190b71d27b8eb8daf9a |
completed | May 12, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_6a0335b7b1588190b02a0ce6a08704aa |
completed | May 12, 2026, 2:14 p.m. |
Created at: April 29, 2026, 8:43 p.m.