Triple
T37632804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanse Tinnock’s |
E936397
|
entity |
| Predicate | hasGenreOfSignificance |
P28041
|
FINISHED |
| Object | Scottish literature |
—
|
NE NERFINISHED |
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: Scottish literature | Statement: [Nanse Tinnock’s, hasGenreOfSignificance, Scottish literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreOfSignificance Context triple: [Nanse Tinnock’s, hasGenreOfSignificance, Scottish literature]
-
A.
hasGivenGenreDefiningWork
Indicates that an entity has created or produced a work that is widely regarded as defining or fundamentally shaping a particular genre.
-
B.
hasNotableGenre
chosen
Indicates that an entity is significantly associated with a particular genre, such that the genre is especially characteristic or noteworthy for that entity.
-
C.
hasGivenGenre
Indicates that an entity is associated with a specific genre that has been assigned or designated to it.
-
D.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
E.
hasGenreOfWorkItAppearsIn
Indicates that an entity is associated with the genre of the work in which it appears.
- 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_69f76ed24820819081bafd36e9088701 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
Created at: May 3, 2026, 4:18 p.m.