Triple
T19265137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The House on the Water’s Edge |
E481754
|
entity |
| Predicate | coverMedium |
P135343
|
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: [The House on the Water’s Edge, coverMedium, print]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverMedium Context triple: [The House on the Water’s Edge, coverMedium, print]
-
A.
cover
Indicates that one entity extends over, conceals, protects, or provides a surface or layer for another entity.
-
B.
coverText
Indicates that one text serves as the cover or front-facing textual representation for another work or resource.
-
C.
mediaCovered
Indicates that one entity (such as a media outlet or source) has reported on, featured, or otherwise provided coverage of another entity or event.
-
D.
depictsMedium
Indicates that one entity visually represents or portrays the medium or material of another entity.
-
E.
targetMedium
Indicates the medium or channel through which an action, message, or effect is directed or intended to be delivered.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8ca2e88190baad3b6c199ee036 |
completed | April 20, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69e4dd07a7208190afcd51ba1dc87c33 |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:29 p.m.