Triple

T17892539
Position Surface form Disambiguated ID Type / Status
Subject Imperial Ottoman mints E447357 entity
Predicate controlledBy P1715 FINISHED
Object defterdar
A defterdar was a high-ranking Ottoman official responsible for overseeing the empire’s financial administration and treasury.
E1294058 NE FINISHED

How this triple was built (4 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: defterdar | Statement: [Imperial Ottoman mints, controlledBy, defterdar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: defterdar
Context triple: [Imperial Ottoman mints, controlledBy, defterdar]
  • A. Etter
    Etter is a surname most notably associated with Margaret C. Etter, an American crystallographer recognized for her influential work in hydrogen bonding and crystal engineering.
  • B. Afte
    Afte is a small river in Germany that serves as a tributary of the Diemel.
  • C. Sudreyjar
    Sudreyjar was the Norse-Gaelic kingdom of the Southern Isles of Scotland, including the Hebrides and nearby islands, that formed a major maritime power in the medieval North Atlantic.
  • D. dabtara
    A dabtara is a learned lay cleric in the Ethiopian and Eritrean Orthodox tradition, known for mastering liturgical music, especially Zema chant, as well as church scholarship and ritual arts.
  • E. Furttal
    Furttal is a small valley region in the canton of Zurich, Switzerland, known for its suburban communities and proximity to the city of Zurich.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: defterdar
Triple: [Imperial Ottoman mints, controlledBy, defterdar]
Generated description
A defterdar was a high-ranking Ottoman official responsible for overseeing the empire’s financial administration and treasury.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: defterdar
Target entity description: A defterdar was a high-ranking Ottoman official responsible for overseeing the empire’s financial administration and treasury.
  • A. Etter
    Etter is a surname most notably associated with Margaret C. Etter, an American crystallographer recognized for her influential work in hydrogen bonding and crystal engineering.
  • B. Afte
    Afte is a small river in Germany that serves as a tributary of the Diemel.
  • C. Sudreyjar
    Sudreyjar was the Norse-Gaelic kingdom of the Southern Isles of Scotland, including the Hebrides and nearby islands, that formed a major maritime power in the medieval North Atlantic.
  • D. Furttal
    Furttal is a small valley region in the canton of Zurich, Switzerland, known for its suburban communities and proximity to the city of Zurich.
  • E. Därligen
    Därligen is a small Swiss village and municipality on the southern shore of Lake Thun in the canton of Bern.
  • F. None of above. chosen

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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d7a855c8190b20bdbf6dcd4fd47 completed April 19, 2026, 9:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0313e10c40819089cb912a020b32de completed May 12, 2026, 11:49 a.m.
NEDg Description generation batch_6a031528abac8190b5257eff1647b6b3 completed May 12, 2026, 11:55 a.m.
NED2 Entity disambiguation (via description) batch_6a03164881ec8190a783b095f3cf47b3 completed May 12, 2026, noon
Created at: April 10, 2026, 10:19 a.m.