Triple

T7342479
Position Surface form Disambiguated ID Type / Status
Subject Faith E169288 entity
Predicate hasVariant P455 FINISHED
Object Fay
Fay is a feminine given name, often considered a variant of Faith, that has English origins and is associated with meanings like "fairy" or "loyal."
 E30967 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: Fay | Statement: [Faith, hasVariant, Fay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fay
Context triple: [Faith, hasVariant, Fay]
  • A. Fay
    Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • B. Felicia
    Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
  • C. Fynn
    Fynn is an alternative spelling of the given name Finn, used as a modern variant in various European languages.
  • D. Freda
    Freda is a feminine given name, often used in English-speaking countries and derived from names like Winifred or Frederica.
  • E. Fiona
    Fiona is a central character in the Shrek film series, an ogre princess known for her bravery, independence, and unconventional fairy-tale romance with Shrek.
  • 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: Fay
Triple: [Faith, hasVariant, Fay]
Generated description
Fay is a feminine given name, often considered a variant of Faith, that has English origins and is associated with meanings like "fairy" or "loyal."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fay
Target entity description: Fay is a feminine given name, often considered a variant of Faith, that has English origins and is associated with meanings like "fairy" or "loyal."
  • A. Fay chosen
    Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • B. Felicia
    Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
  • C. Fynn
    Fynn is an alternative spelling of the given name Finn, used as a modern variant in various European languages.
  • D. Freda
    Freda is a feminine given name, often used in English-speaking countries and derived from names like Winifred or Frederica.
  • E. Fiona
    Fiona is a central character in the Shrek film series, an ogre princess known for her bravery, independence, and unconventional fairy-tale romance with Shrek.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0db2db8819088c4bed5d65571f6 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802b032308190875b82c3ad169829 completed March 28, 2026, 4:32 p.m.
NEDg Description generation batch_69c806ea37308190983e3e216bba07d2 completed March 28, 2026, 4:50 p.m.
NED2 Entity disambiguation (via description) batch_69c80748a4d8819094e8e1b9994a1b5a completed March 28, 2026, 4:52 p.m.
Created at: March 27, 2026, 3:04 p.m.