Triple

T13261671
Position Surface form Disambiguated ID Type / Status
Subject Alain E315811 entity
Predicate hasFeminineForm P1613 FINISHED
Object Alayne
Alayne is a feminine given name, often considered a variant of Elaine or Alaine.
E1025495 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: Alayne | Statement: [Alain, hasFeminineForm, Alayne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alayne
Context triple: [Alain, hasFeminineForm, Alayne]
  • A. Alayne Stone
    Alayne Stone is the false identity adopted by Sansa Stark while she hides in the Vale under Petyr Baelish’s protection in A Song of Ice and Fire.
  • B. Alanna
    Alanna is a feminine given name, often considered a variant of Alan or Alana, used in various English-speaking countries.
  • C. Helena De'Wend
    Helena De'Wend is a fictional character from the British dark comedy television series "The Life and Times of Vivienne Vyle," which satirizes daytime talk shows and celebrity culture.
  • D. Edlyne
    Edlyne is the middle name of Thomas Edlyne Tomlins, an English legal writer and editor of the 19th century.
  • E. Ethelyn
    Ethelyn is a feminine given name, considered a variant of Ethel, that saw occasional use in English-speaking countries in the late 19th and early 20th centuries.
  • 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: Alayne
Triple: [Alain, hasFeminineForm, Alayne]
Generated description
Alayne is a feminine given name, often considered a variant of Elaine or Alaine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alayne
Target entity description: Alayne is a feminine given name, often considered a variant of Elaine or Alaine.
  • A. Alayne Stone chosen
    Alayne Stone is the false identity adopted by Sansa Stark while she hides in the Vale under Petyr Baelish’s protection in A Song of Ice and Fire.
  • B. Alanna
    Alanna is a feminine given name, often considered a variant of Alan or Alana, used in various English-speaking countries.
  • C. Helena De'Wend
    Helena De'Wend is a fictional character from the British dark comedy television series "The Life and Times of Vivienne Vyle," which satirizes daytime talk shows and celebrity culture.
  • D. Edlyne
    Edlyne is the middle name of Thomas Edlyne Tomlins, an English legal writer and editor of the 19th century.
  • E. Ethelyn
    Ethelyn is a feminine given name, considered a variant of Ethel, that saw occasional use in English-speaking countries in the late 19th and early 20th centuries.
  • F. None of above.

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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901b380881909e6520fbb6811084 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a48bc488190a5cf692d81bdcbba completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70b5dbcc4819081b5ba410e319eb7 completed May 3, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69f70c4c6f908190b2ebc2a90b049e59 completed May 3, 2026, 8:50 a.m.
Created at: April 9, 2026, 9:25 p.m.