Triple
T24305393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Purity of the Turf |
E612519
|
entity |
| Predicate | hasResolutionType |
P21258
|
FINISHED |
| Object | comic resolution |
—
|
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: comic resolution | Statement: [The Purity of the Turf, hasResolutionType, comic resolution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResolutionType Context triple: [The Purity of the Turf, hasResolutionType, comic resolution]
-
A.
hasResolution
Indicates that one entity possesses, specifies, or is associated with a particular level or type of resolution (such as detail, clarity, or granularity) in relation to another entity.
-
B.
hasProposedResolutionType
Indicates the type or category of resolution that has been formally proposed in relation to an issue, dispute, or decision.
-
C.
resolutionOf
Indicates that one entity is the formal decision, outcome, or solution produced in response to, or for the purpose of addressing, another entity such as an issue, proposal, or problem.
-
D.
resolutionType
chosen
Indicates the specific manner or category by which an issue, event, or conflict is resolved or brought to a conclusion.
-
E.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2922641bc81908fa3595941e60741 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:30 a.m.