Triple

T13761703
Position Surface form Disambiguated ID Type / Status
Subject Lynn E330623 entity
Predicate hasHomograph P32881 FINISHED
Object Lynn (surname)
Lynn is a surname of English and Scottish origin, often derived from place names meaning “lake” or “waterfall.”
 E1060142 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: Lynn (surname) | Statement: [Lynn, hasHomograph, Lynn (surname)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lynn (surname)
Context triple: [Lynn, hasHomograph, Lynn (surname)]
  • A. Lindsey (surname)
    Lindsey is an English-language surname of Old English origin, historically associated with the region of Lindsey in Lincolnshire.
  • B. Lynn
    Lynn was the original name of what is now known as King’s Lynn railway station in Norfolk, England.
  • C. Lynn
    Lynn is a small town located in Winston County, Alabama, known for its rural character and close-knit community.
  • D. Lynn
    Lynn is a given name used for people of any gender in English-speaking countries.
  • E. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • 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: Lynn (surname)
Triple: [Lynn, hasHomograph, Lynn (surname)]
Generated description
Lynn is a surname of English and Scottish origin, often derived from place names meaning “lake” or “waterfall.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lynn (surname)
Target entity description: Lynn is a surname of English and Scottish origin, often derived from place names meaning “lake” or “waterfall.”
  • A. Lindsey (surname)
    Lindsey is an English-language surname of Old English origin, historically associated with the region of Lindsey in Lincolnshire.
  • B. Lynn
    Lynn was the original name of what is now known as King’s Lynn railway station in Norfolk, England.
  • C. Lynn
    Lynn is a given name used for people of any gender in English-speaking countries.
  • D. Lynn
    Lynn is a small town located in Winston County, Alabama, known for its rural character and close-knit community.
  • E. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02250f4881908d5193b3d5d25844 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a8606dbc8190b0f7c38583986141 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7ac4f847c8190ab8be535e5399c79 completed May 3, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_69f7acdf70f8819092700c7b6b619d13 completed May 3, 2026, 8:15 p.m.
Created at: April 9, 2026, 10:09 p.m.