Triple
T18900954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragonquest |
E462337
|
entity |
| Predicate | coverCaption |
P113852
|
FINISHED |
| Object | A novel of Pern |
—
|
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: A novel of Pern | Statement: [Dragonquest, coverCaption, A novel of Pern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverCaption Context triple: [Dragonquest, coverCaption, A novel of Pern]
-
A.
caption
chosen
Indicates that a piece of text serves as a descriptive label or explanation for an associated image, video, or other media content.
-
B.
cover
Indicates that one entity extends over, conceals, protects, or provides a surface or layer for another entity.
-
C.
coverText
Indicates that one text serves as the cover or front-facing textual representation for another work or resource.
-
D.
coverSymbol
Indicates that one symbol or notation is used as a cover or representative marker for another entity in a given context.
-
E.
coverArtText
Indicates that the text element is part of, or associated with, the cover art of a work.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52954bc8190a237627c09615ac1 |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.