Triple
T6642932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunset at Blandings |
E150629
|
entity |
| Predicate | hasPostscript |
P72001
|
FINISHED |
| Object | editorial commentary |
—
|
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: editorial commentary | Statement: [Sunset at Blandings, hasPostscript, editorial commentary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPostscript Context triple: [Sunset at Blandings, hasPostscript, editorial commentary]
-
A.
hasPostNominal
Indicates that an entity is associated with a post-nominal title, abbreviation, or letters that follow a name to denote qualifications, honors, or status.
-
B.
hasColophon
Indicates that one entity (typically a publication or document) includes a colophon section providing production or publication details.
-
C.
hasSign
Indicates that an entity possesses, displays, or is associated with a particular sign or symbol.
-
D.
hasPresentation
Indicates that an entity delivers, contains, or is associated with a specific presentation (such as a talk, slide deck, or formal display of information).
-
E.
hasPar
Indicates a relationship where one entity has another entity as its parent.
- F. None of above. chosen
Provenance (4 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6cc988c0081909d22b86ca299331c |
completed | March 27, 2026, 6:29 p.m. |
Created at: March 27, 2026, 2 p.m.