Triple
T37520615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life of John Gay |
E932760
|
entity |
| Predicate | containsEvaluationOf |
P116940
|
FINISHED |
| Object | John Gay’s literary merit |
—
|
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: John Gay’s literary merit | Statement: [Life of John Gay, containsEvaluationOf, John Gay’s literary merit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsEvaluationOf Context triple: [Life of John Gay, containsEvaluationOf, John Gay’s literary merit]
-
A.
hasEvaluation
Indicates that an entity has been assessed or judged according to some criteria, linking it to the corresponding evaluation result or record.
-
B.
supportsEvaluation
Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to be assessed, tested, or evaluated.
-
C.
hasEvaluationType
Indicates that an entity is associated with a specific kind or category of evaluation applied to it.
-
D.
isEvaluative
chosen
Indicates that one entity expresses a judgment, assessment, or value-based evaluation about another entity or situation.
-
E.
evaluatesAs
Indicates that one entity is judged, interpreted, or assessed as having a particular value, role, or classification in relation to another.
- 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a01b50490e481908eb1d675561fdde2 |
completed | May 11, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_6a01b44b106481908aa98a3f1eb2c119 |
completed | May 11, 2026, 10:49 a.m. |
Created at: May 3, 2026, 4:17 p.m.