Triple
T35738934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Age of Tulips |
E1032976
|
entity |
| Predicate | grandVizier |
P184653
|
FINISHED |
| Object | Nevşehirli Damat İbrahim Pasha |
—
|
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: Nevşehirli Damat İbrahim Pasha | Statement: [Age of Tulips, grandVizier, Nevşehirli Damat İbrahim Pasha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandVizier Context triple: [Age of Tulips, grandVizier, Nevşehirli Damat İbrahim Pasha]
-
A.
successorAsGrandVizier
Indicates that one entity became the next Grand Vizier following another entity in that office.
-
B.
grandVizierDuringReign
Indicates that one entity served as the grand vizier (chief minister) during the period of another entity’s reign.
-
C.
appointedAsGrandVizierBy
Indicates that one entity was formally selected and installed as Grand Vizier by another entity.
-
D.
termAsGrandVizierStart
Indicates the date or point in time when an individual begins serving in the role of Grand Vizier.
-
E.
secondTermAsGrandVizierStart
Indicates the date or point in time when an individual’s second term serving as Grand Vizier begins.
- F. None of above. chosen
Provenance (4 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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b365288c8190bcb11fcfba028737 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2f2b9ac8190aa05b8a1aa18ec2d |
completed | May 3, 2026, 8:41 p.m. |
Created at: May 3, 2026, 4:05 p.m.