Triple
T1775555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nineteen Eighty-Four |
E38967
|
entity |
| Predicate | firstPublishedFormat |
P22610
|
FINISHED |
| Object |
—
|
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: print | Statement: [Nineteen Eighty-Four, firstPublishedFormat, print]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublishedFormat Context triple: [Nineteen Eighty-Four, firstPublishedFormat, print]
-
A.
firstReleaseFormat
chosen
Indicates the original medium or format in which something (such as a work or product) was first released.
-
B.
firstPublisher
Indicates that an entity is the original or earliest publisher of another entity (such as a work, edition, or resource).
-
C.
initialPublication
Indicates the relationship in which a work is first formally published or made publicly available.
-
D.
placeOfFirstPublication
Indicates the location where a work was first published or made publicly available.
-
E.
firstPublicationContext
Indicates the original context or setting (such as venue, medium, or circumstance) in which something was first 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab17e368048190b7b73d156400f772 |
completed | March 6, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69aa61cd4c1c8190a8dff391f5642bfe |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.