Triple

T12738004
Position Surface form Disambiguated ID Type / Status
Subject Refet Bele E304414 entity
Predicate givenName P17 FINISHED
Object Refet
Refet is a masculine given name of Turkish origin, historically borne by several notable Ottoman and Turkish figures.
 E1000715 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: Refet | Statement: [Refet Bele, givenName, Refet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Refet
Context triple: [Refet Bele, givenName, Refet]
  • A. Nabaloi
    Nabaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in the Benguet region of Luzon.
  • B. Emar
    Emar was an ancient Near Eastern city on the Euphrates River, known as a significant Late Bronze Age administrative and cultural center whose rich cuneiform archives have illuminated Hittite and Syrian history.
  • C. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • D. Merkheuli
    Merkheuli is a village in Abkhazia, Georgia, historically notable as the birthplace of Soviet security chief Lavrentiy Beria.
  • E. Faeto
    Faeto is a small town in southern Italy known for its unique linguistic heritage, including the rare Franco-Provençal dialect Faetar.
  • 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: Refet
Triple: [Refet Bele, givenName, Refet]
Generated description
Refet is a masculine given name of Turkish origin, historically borne by several notable Ottoman and Turkish figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Refet
Target entity description: Refet is a masculine given name of Turkish origin, historically borne by several notable Ottoman and Turkish figures.
  • A. Nabaloi
    Nabaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in the Benguet region of Luzon.
  • B. Emar
    Emar was an ancient Near Eastern city on the Euphrates River, known as a significant Late Bronze Age administrative and cultural center whose rich cuneiform archives have illuminated Hittite and Syrian history.
  • C. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • D. Merkheuli
    Merkheuli is a village in Abkhazia, Georgia, historically notable as the birthplace of Soviet security chief Lavrentiy Beria.
  • E. Faeto
    Faeto is a small town in southern Italy known for its unique linguistic heritage, including the rare Franco-Provençal dialect Faetar.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646cfcac81909283dca987755c0e completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8ff57c8190a935b5c9f4bb5aa3 completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67e7416948190a08eb3de840def77 completed May 2, 2026, 10:45 p.m.
NED2 Entity disambiguation (via description) batch_69f67f7d237081908d3b6e8d759ea03e completed May 2, 2026, 10:49 p.m.
Created at: April 9, 2026, 5:26 p.m.