Triple
T25017055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin McCarthy (historian) |
E626166
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Muslims and Minorities: The Population of Ottoman Anatolia and the End of the Empire
Muslims and Minorities: The Population of Ottoman Anatolia and the End of the Empire is a historical demographic study examining the ethnic and religious composition of Ottoman Anatolia and the population changes surrounding the collapse of the Ottoman Empire.
|
E1662396
|
NE 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: Muslims and Minorities: The Population of Ottoman Anatolia and the End of the Empire | Statement: [Justin McCarthy (historian), notableWork, Muslims and Minorities: The Population of Ottoman Anatolia and the End of the Empire]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Muslims and Minorities: The Population of Ottoman Anatolia and the End of the Empire Triple: [Justin McCarthy (historian), notableWork, Muslims and Minorities: The Population of Ottoman Anatolia and the End of the Empire]
Generated description
Muslims and Minorities: The Population of Ottoman Anatolia and the End of the Empire is a historical demographic study examining the ethnic and religious composition of Ottoman Anatolia and the population changes surrounding the collapse of the Ottoman Empire.
Provenance (5 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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44ba720748190a16124b842247df2 |
completed | May 1, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1048b2a5b48190a1c9816ff28fdbc8 |
completed | May 22, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_6a10496ad0748190b797fea89fc9472d |
completed | May 22, 2026, 12:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a104bc667e48190bb0feadc5b324cde |
completed | May 22, 2026, 12:27 p.m. |
Created at: April 18, 2026, 6:06 a.m.