Triple

T11698079
Position Surface form Disambiguated ID Type / Status
Subject Aidan E278047 entity
Predicate hasVariant P455 FINISHED
Object Aydin
Aydin is a given name used as a variant of Aidan, found in various cultures and spellings.
E939671 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: Aydin | Statement: [Aidan, hasVariant, Aydin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aydin
Context triple: [Aidan, hasVariant, Aydin]
  • A. Ayaş
    Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
  • B. Kadiria
    Kadiria is a town and commune located within Bouira Province in northern Algeria.
  • C. Günne
    Günne is a village in North Rhine-Westphalia, Germany, situated on the Möhne River and known for its proximity to the Möhne Dam and Lake Möhnesee.
  • D. Meykandar
    Meykandar was a 13th-century South Indian philosopher and theologian whose writings systematized and profoundly shaped the Shaiva Siddhanta school of Hindu thought.
  • E. Alaybey
    Alaybey is a neighborhood and tram stop area in the Karşıyaka district of İzmir, Turkey, integrated into the city's modern public transportation network.
  • 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: Aydin
Triple: [Aidan, hasVariant, Aydin]
Generated description
Aydin is a given name used as a variant of Aidan, found in various cultures and spellings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aydin
Target entity description: Aydin is a given name used as a variant of Aidan, found in various cultures and spellings.
  • A. Ayaş
    Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
  • B. Kadiria
    Kadiria is a town and commune located within Bouira Province in northern Algeria.
  • C. Günne
    Günne is a village in North Rhine-Westphalia, Germany, situated on the Möhne River and known for its proximity to the Möhne Dam and Lake Möhnesee.
  • D. Meykandar
    Meykandar was a 13th-century South Indian philosopher and theologian whose writings systematized and profoundly shaped the Shaiva Siddhanta school of Hindu thought.
  • E. Alaybey
    Alaybey is a neighborhood and tram stop area in the Karşıyaka district of İzmir, Turkey, integrated into the city's modern public transportation network.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47df68c81908a91919a69b4880d completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef147e2e10819085eaed83fd955b6b completed April 27, 2026, 7:47 a.m.
NEDg Description generation batch_69ef3553a1748190b554463bcea8bd1d completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef51fe3824819099f440426d3e6888 completed April 27, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:40 p.m.