Triple
T18007436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A White Heron and Other Stories |
E430788
|
entity |
| Predicate | hasOriginalPublicationForm |
P35132
|
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: [A White Heron and Other Stories, hasOriginalPublicationForm, print]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalPublicationForm Context triple: [A White Heron and Other Stories, hasOriginalPublicationForm, print]
-
A.
originalPublicationForm
chosen
Indicates the format or medium in which a work was first originally published.
-
B.
originalPublicationOfWholeWork
Indicates that one entity is the original publication in which an entire work was first made publicly available.
-
C.
originalCitationForm
Indicates the relationship where one form of a cited work is the initial or primary version from which other citation forms or variants are derived.
-
D.
hasOriginalWorkMedium
Indicates that an original creative work is associated with a specific medium or material in which it was first produced.
-
E.
hasPublishingFormat
Indicates that an entity is associated with a specific format or medium in which it is published or made publicly available.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51d44088190bfcd35e532a4c02a |
completed | April 19, 2026, 10:57 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:24 a.m.