Triple
T23920093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mir Damad |
E602190
|
entity |
| Predicate | leadingFigureOf |
P2809
|
FINISHED |
| Object | School of Isfahan |
—
|
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: School of Isfahan | Statement: [Mir Damad, leadingFigureOf, School of Isfahan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadingFigureOf Context triple: [Mir Damad, leadingFigureOf, School of Isfahan]
-
A.
historicalFigure
Indicates that an entity is recognized as a notable person from the past who played a significant role in history.
-
B.
notableFigureFeatured
Indicates that a notable or prominent individual is highlighted, showcased, or given special attention in the associated context or medium.
-
C.
associatedLegendaryFigure
Indicates that an entity is traditionally linked or connected to a particular legendary or mythological figure.
-
D.
pioneerOf
chosen
Indicates that an entity was among the first to develop, introduce, or significantly advance another entity, concept, or practice.
-
E.
notableCulturalFigure
Indicates that a person holds significant influence or recognition within a culture’s arts, traditions, values, or public life.
- 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf1772e08190a434c91f4e7437b4 |
completed | April 29, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:41 p.m.