Triple

T2068765
Position Surface form Disambiguated ID Type / Status
Subject Kerian Roussel E45966 entity
Predicate hasGivenName P17 FINISHED
Object Kerian
Kerian is a given name used as a personal first name.
 E231770 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: Kerian | Statement: [Kerian Roussel, hasGivenName, Kerian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kerian
Context triple: [Kerian Roussel, hasGivenName, Kerian]
  • A. Kiloran
    Kiloran is a small coastal settlement on the Scottish island of Colonsay, known for its scenic bay and sandy beach.
  • B. Keston
    Keston is a historic village in the London Borough of Bromley, known for its rural character, commons, and proximity to the source of the River Ravensbourne.
  • C. Kerria
    Kerria is a small genus of deciduous flowering shrubs, best known for the ornamental Japanese kerria with its bright yellow, rose-like blooms.
  • D. Kierling
    Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
  • E. Kerium
    Kerium is a specialized hair and scalp care product line from La Roche-Posay designed to address issues such as dandruff, sensitivity, and hair thinning.
  • 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: Kerian
Triple: [Kerian Roussel, hasGivenName, Kerian]
Generated description
Kerian is a given name used as a personal first name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kerian
Target entity description: Kerian is a given name used as a personal first name.
  • A. Kiloran
    Kiloran is a small coastal settlement on the Scottish island of Colonsay, known for its scenic bay and sandy beach.
  • B. Keston
    Keston is a historic village in the London Borough of Bromley, known for its rural character, commons, and proximity to the source of the River Ravensbourne.
  • C. Kerria
    Kerria is a small genus of deciduous flowering shrubs, best known for the ornamental Japanese kerria with its bright yellow, rose-like blooms.
  • D. Kierling
    Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
  • E. Kerium
    Kerium is a specialized hair and scalp care product line from La Roche-Posay designed to address issues such as dandruff, sensitivity, and hair thinning.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9f51a008190aead0173a9289204 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2724f46c81909521ca75185ef5f1 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae2901eb588190863e15deb8614754 completed March 9, 2026, 1:57 a.m.
NED2 Entity disambiguation (via description) batch_69ae297ebf6c819086e10ee455bea988 completed March 9, 2026, 1:59 a.m.
Created at: March 4, 2026, 7:41 p.m.