Triple
T8523909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Stanbury |
E201762
|
entity |
| Predicate | authorialUse |
P42995
|
FINISHED |
| Object | vehicle for Trollope’s views on the press |
—
|
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: vehicle for Trollope’s views on the press | Statement: [Hugh Stanbury, authorialUse, vehicle for Trollope’s views on the press]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorialUse Context triple: [Hugh Stanbury, authorialUse, vehicle for Trollope’s views on the press]
-
A.
usedByAuthorTo
chosen
Indicates that something is employed or utilized by an author to achieve a particular purpose or effect.
-
B.
usedByAuthor
Indicates that something (such as a method, tool, or resource) is employed or utilized by an author.
-
C.
fictionalUse
Indicates that one entity makes use of another within a fictional or imaginary context, rather than in real-world usage.
-
D.
authorshipInitially
Indicates that an entity is the original or first author/creator of another entity before any subsequent authorship changes or contributions.
-
E.
hasAuthorialStance
Indicates that an entity expresses, embodies, or is associated with a particular author’s viewpoint, attitude, or perspective toward its subject matter.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe64362c88190b978a2544eec6e3e |
completed | March 31, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cbd10f64b4819080859057c19e58f0 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:16 p.m.