Triple

T10259944
Position Surface form Disambiguated ID Type / Status
Subject Makarios III E240568 entity
Predicate givenName P17 FINISHED
Object Mikhalis
Mikhalis is the birth name of Makarios III, the influential Archbishop and first President of independent Cyprus.
 E851657 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: Mikhalis | Statement: [Makarios III, givenName, Mikhalis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mikhalis
Context triple: [Makarios III, givenName, Mikhalis]
  • A. Arapov
    Arapov is a Slavic masculine surname commonly found in Russian-speaking countries.
  • B. Ishkur
    Ishkur is a Mesopotamian storm and rain god associated with thunder, fertility, and seasonal weather.
  • C. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • D. Muratov
    Muratov is a Russian surname most prominently associated with Dmitry Muratov, the Nobel Peace Prize–winning journalist and editor-in-chief of the independent newspaper Novaya Gazeta.
  • E. Fikret
    Fikret is a Turkish surname most notably associated with the influential poet and educator Tevfik Fikret, a leading figure in late Ottoman literature.
  • 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: Mikhalis
Triple: [Makarios III, givenName, Mikhalis]
Generated description
Mikhalis is the birth name of Makarios III, the influential Archbishop and first President of independent Cyprus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mikhalis
Target entity description: Mikhalis is the birth name of Makarios III, the influential Archbishop and first President of independent Cyprus.
  • A. Arapov
    Arapov is a Slavic masculine surname commonly found in Russian-speaking countries.
  • B. Ishkur
    Ishkur is a Mesopotamian storm and rain god associated with thunder, fertility, and seasonal weather.
  • C. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • D. Muratov
    Muratov is a Russian surname most prominently associated with Dmitry Muratov, the Nobel Peace Prize–winning journalist and editor-in-chief of the independent newspaper Novaya Gazeta.
  • E. Fikret
    Fikret is a Turkish surname most notably associated with the influential poet and educator Tevfik Fikret, a leading figure in late Ottoman literature.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d25bc7f88190b7e83243894d1aeb completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7e9a9d48190865f047750d7bc6c completed April 9, 2026, 12:50 a.m.
NEDg Description generation batch_69d6fcabb5a08190a26c068163f48878 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd7212b88190b410b8e1cc6f56fd completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:32 a.m.