Triple

T4867633
Position Surface form Disambiguated ID Type / Status
Subject Cohen E109009 entity
Predicate scriptVariant P4680 FINISHED
Object Kahen
Kahen is an alternative script variant or transliteration form of the surname "Cohen," commonly associated with Jewish priestly lineage.
 E476981 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: Kahen | Statement: [Cohen, scriptVariant, Kahen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kahen
Context triple: [Cohen, scriptVariant, Kahen]
  • A. Käina
    Käina is a small settlement on the Estonian island of Hiiumaa, known for its coastal landscapes and traditional rural character.
  • B. Karinska
    Karinska was a renowned 20th-century costume designer best known for her influential work in ballet and theater, particularly with the New York City Ballet.
  • C. Kvam
    Kvam is a municipality in Vestland county, western Norway, known for its scenic location along the Hardangerfjord and traditional fruit farming.
  • D. Kandia
    Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
  • E. Kandan
    Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
  • 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: Kahen
Triple: [Cohen, scriptVariant, Kahen]
Generated description
Kahen is an alternative script variant or transliteration form of the surname "Cohen," commonly associated with Jewish priestly lineage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kahen
Target entity description: Kahen is an alternative script variant or transliteration form of the surname "Cohen," commonly associated with Jewish priestly lineage.
  • A. Käina
    Käina is a small settlement on the Estonian island of Hiiumaa, known for its coastal landscapes and traditional rural character.
  • B. Karinska
    Karinska was a renowned 20th-century costume designer best known for her influential work in ballet and theater, particularly with the New York City Ballet.
  • C. Kvam
    Kvam is a municipality in Vestland county, western Norway, known for its scenic location along the Hardangerfjord and traditional fruit farming.
  • D. Kandia
    Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
  • E. Kandan
    Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d7bb0b88190bbc24498619910fc completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67e5d96c8190b2a509d9fb81211a completed March 21, 2026, 9:41 a.m.
NEDg Description generation batch_69be693b36b08190a0de648f0c5bdc60 completed March 21, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69be69a16b0c8190b0a787bb54b31fc3 completed March 21, 2026, 9:49 a.m.
Created at: March 20, 2026, 1:26 p.m.