Triple

T9350624
Position Surface form Disambiguated ID Type / Status
Subject Ethel E225006 entity
Predicate hasVariant P455 FINISHED
Object Ethelinda
Ethelinda is a feminine given name of Old English origin, often interpreted to mean “noble serpent” or “noble snake.”
 E793109 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: Ethelinda | Statement: [Ethel, hasVariant, Ethelinda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ethelinda
Context triple: [Ethel, hasVariant, Ethelinda]
  • A. Yelinda
    Yelinda is a dialect of the Bulu language spoken by a specific subgroup of Bulu speakers in Cameroon.
  • B. Lusiana
    Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
  • C. Zhilinda
    Zhilinda is a small rural settlement located along the Olenyok River in the remote northern region of Siberia, Russia.
  • D. Rokhele
    Rokhele is a central female character in Sholem Aleichem’s Yiddish novel "Stempenyu," portrayed as a young married woman whose emotional turmoil and attraction to the charismatic fiddler Stempenyu drive much of the story’s romantic and moral conflict.
  • E. Lwena
    Lwena is a Bantu language spoken primarily by the Luena (Lwena) people in parts of Angola and neighboring regions of Central Africa.
  • 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: Ethelinda
Triple: [Ethel, hasVariant, Ethelinda]
Generated description
Ethelinda is a feminine given name of Old English origin, often interpreted to mean “noble serpent” or “noble snake.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ethelinda
Target entity description: Ethelinda is a feminine given name of Old English origin, often interpreted to mean “noble serpent” or “noble snake.”
  • A. Yelinda
    Yelinda is a dialect of the Bulu language spoken by a specific subgroup of Bulu speakers in Cameroon.
  • B. Lusiana
    Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
  • C. Zhilinda
    Zhilinda is a small rural settlement located along the Olenyok River in the remote northern region of Siberia, Russia.
  • D. Rokhele
    Rokhele is a central female character in Sholem Aleichem’s Yiddish novel "Stempenyu," portrayed as a young married woman whose emotional turmoil and attraction to the charismatic fiddler Stempenyu drive much of the story’s romantic and moral conflict.
  • E. Lwena
    Lwena is a Bantu language spoken primarily by the Luena (Lwena) people in parts of Angola and neighboring regions of Central Africa.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f9248c08190a7bb40feec2eb217 completed April 1, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e445c5308190be122215c92fd03d completed April 4, 2026, 10:13 a.m.
NEDg Description generation batch_69d0e5752a38819089b23ac52f0a6a39 completed April 4, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69d0e64cb4dc81908cef7d729d9cfb4d completed April 4, 2026, 10:22 a.m.
Created at: March 30, 2026, 7:41 p.m.