Triple
T19171083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mehmed Talat Pasha |
E469320
|
entity |
| Predicate | officeStartTime (Grand Vizier) |
P134705
|
FINISHED |
| Object | 1917 |
—
|
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: 1917 | Statement: [Mehmed Talat Pasha, officeStartTime (Grand Vizier), 1917]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Grand Vizier) Context triple: [Mehmed Talat Pasha, officeStartTime (Grand Vizier), 1917]
-
A.
officeStartTime (Archivist of the United States)
Indicates the time at which the Archivist of the United States officially begins their term in office.
-
B.
officeStartTime (Governor of Madras)
Indicates the time at which the Governor of Madras officially began their term in office.
-
C.
officeStartTime (Administrator of UNDP)
Indicates the date and time at which the person began serving as Administrator of UNDP.
-
D.
officeStartTime (Prime Minister)
Indicates the specific time at which the Prime Minister’s term in office officially begins.
-
E.
officeStartTime (Commander of RFMF)
Indicates the date and time at which an individual begins their term serving as Commander of the RFMF.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f163c5888190b4880471d17b4f51 |
completed | April 20, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b83d6881908e6271c620f74100 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:06 p.m.