Triple

T2146858
Position Surface form Disambiguated ID Type / Status
Subject Emine Erdoğan E47086 entity
Predicate givenName P17 FINISHED
Object Emine
Emine is a Turkish feminine given name commonly borne by women, including prominent public figures in Turkey.
 E240392 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: Emine | Statement: [Emine Erdoğan, givenName, Emine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Emine
Context triple: [Emine Erdoğan, givenName, Emine]
  • A. Emmen
    Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
  • B. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • C. Gulnare
    Gulnare is a central female character in Lord Byron’s narrative poem "The Corsair," known for her courage, passion, and pivotal role in the story’s dramatic events.
  • D. İmroz
    İmroz, now known as Gökçeada, is a large Aegean island of Turkey historically home to a significant Greek community.
  • E. Ebebiyín
    Ebebiyín is a town in northeastern Equatorial Guinea, near the borders with Cameroon and Gabon, known as an important regional and commercial center.
  • 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: Emine
Triple: [Emine Erdoğan, givenName, Emine]
Generated description
Emine is a Turkish feminine given name commonly borne by women, including prominent public figures in Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Emine
Target entity description: Emine is a Turkish feminine given name commonly borne by women, including prominent public figures in Turkey.
  • A. Emmen
    Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
  • B. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • C. Gulnare
    Gulnare is a central female character in Lord Byron’s narrative poem "The Corsair," known for her courage, passion, and pivotal role in the story’s dramatic events.
  • D. İmroz
    İmroz, now known as Gökçeada, is a large Aegean island of Turkey historically home to a significant Greek community.
  • E. Ebebiyín
    Ebebiyín is a town in northeastern Equatorial Guinea, near the borders with Cameroon and Gabon, known as an important regional and commercial center.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe25d8848190a3ba691668a68e37 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58d75a5c8190b364a4ab5370558a completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae595a222881908d86ba8690c4fc65 completed March 9, 2026, 5:23 a.m.
NED2 Entity disambiguation (via description) batch_69ae59efdf4c8190aaa1d63ce6e98696 completed March 9, 2026, 5:26 a.m.
Created at: March 4, 2026, 7:44 p.m.