Triple
T29799397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ’Tis Sixty Years Since |
E756649
|
entity |
| Predicate | hasWorkTypeRelationTo |
P104843
|
FINISHED |
| Object | novel Waverley |
—
|
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: novel Waverley | Statement: [’Tis Sixty Years Since, hasWorkTypeRelationTo, novel Waverley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkTypeRelationTo Context triple: [’Tis Sixty Years Since, hasWorkTypeRelationTo, novel Waverley]
-
A.
hasWorkTypeRelation
chosen
Indicates a relationship specifying the type or category of work associated with an entity.
-
B.
hasRoleInWorkType
Indicates that an entity holds a specific role or function within a particular type or category of work.
-
C.
associatedWorkType
Indicates the type or category of work with which an entity is associated (e.g., publication, artwork, performance).
-
D.
hasTypeOfWorkingGroup
Indicates that an entity is associated with or classified under a specific type or category of working group.
-
E.
belongsToWorkBy
Indicates that something is part of, or associated with, a work that was created by a specific agent or creator.
- 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_69f22454583081908927516cb9938d1d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: April 29, 2026, 5:17 p.m.