Triple

T9968776
Position Surface form Disambiguated ID Type / Status
Subject Abbey Lee E195750 entity
Predicate givenName P17 FINISHED
Object Abbey
Abbey is a feminine given name, often used in English-speaking countries as a variant or diminutive of Abigail.
 E518755 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: Abbey | Statement: [Abbey Lee, givenName, Abbey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abbey
Context triple: [Abbey Lee, givenName, Abbey]
  • A. Abbey
    Abbey is the familiar nickname of Abbey Bartlet, the fictional First Lady from the television series "The West Wing."
  • B. Abbeyé
    Abbeyé is an alternative name for the Abé language, a Kwa language spoken primarily in Côte d'Ivoire.
  • C. Abbeylara
    Abbeylara is a historic village and former monastic site in County Longford, Ireland, known for the ruins of its medieval Cistercian abbey.
  • D. Abbey Foregate
    Abbey Foregate is a historic suburb and main thoroughfare of Shrewsbury, Shropshire, known for its traditional streetscape and proximity to the town centre.
  • E. Abbey National
    Abbey National was a major British building society-turned-bank that became one of the UK’s largest mortgage lenders before being acquired and rebranded by Spain’s Santander Group.
  • 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: Abbey
Triple: [Abbey Lee, givenName, Abbey]
Generated description
Abbey is a feminine given name, often used in English-speaking countries as a variant or diminutive of Abigail.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abbey
Target entity description: Abbey is a feminine given name, often used in English-speaking countries as a variant or diminutive of Abigail.
  • A. Abbey chosen
    Abbey is the familiar nickname of Abbey Bartlet, the fictional First Lady from the television series "The West Wing."
  • B. Abbeyé
    Abbeyé is an alternative name for the Abé language, a Kwa language spoken primarily in Côte d'Ivoire.
  • C. Abbeylara
    Abbeylara is a historic village and former monastic site in County Longford, Ireland, known for the ruins of its medieval Cistercian abbey.
  • D. Abbey Foregate
    Abbey Foregate is a historic suburb and main thoroughfare of Shrewsbury, Shropshire, known for its traditional streetscape and proximity to the town centre.
  • E. Abbey National
    Abbey National was a major British building society-turned-bank that became one of the UK’s largest mortgage lenders before being acquired and rebranded by Spain’s Santander Group.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b683ac8190ac97bd775a860d29 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dc117f48190ad66dd62f9833a10 completed April 5, 2026, 10:47 a.m.
NEDg Description generation batch_69d23eb2971c8190bcdbc31b4ef19816 completed April 5, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_69d240d7b7e881909183d7c33bd8cb5b completed April 5, 2026, 11 a.m.
Created at: March 30, 2026, 8:47 p.m.