Triple

T8282925
Position Surface form Disambiguated ID Type / Status
Subject Harlan E193721 entity
Predicate hasVariant P455 FINISHED
Object Harlyn
Harlyn is a given name and surname used as a modern variant of the name Harlan.
 E723373 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: Harlyn | Statement: [Harlan, hasVariant, Harlyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harlyn
Context triple: [Harlan, hasVariant, Harlyn]
  • A. Tahlequah
    Tahlequah is a city in eastern Oklahoma that serves as the capital of the Cherokee Nation and is known for its rich Native American history and culture.
  • B. Dunvant
    Dunvant is a suburban village and community in the City and County of Swansea in south Wales.
  • C. Canyon Springs
    Canyon Springs is the namesake community or geographic area associated with Canyon Springs High School.
  • D. Stansbury
    Stansbury is a coastal town on South Australia's Yorke Peninsula known for its fishing, beaches, and holiday tourism.
  • E. Tenaya Hall
    Tenaya Hall is a student residential building at UC San Diego’s Revelle College, providing on-campus housing and community spaces for undergraduates.
  • 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: Harlyn
Triple: [Harlan, hasVariant, Harlyn]
Generated description
Harlyn is a given name and surname used as a modern variant of the name Harlan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harlyn
Target entity description: Harlyn is a given name and surname used as a modern variant of the name Harlan.
  • A. Tahlequah
    Tahlequah is a city in eastern Oklahoma that serves as the capital of the Cherokee Nation and is known for its rich Native American history and culture.
  • B. Dunvant
    Dunvant is a suburban village and community in the City and County of Swansea in south Wales.
  • C. Canyon Springs
    Canyon Springs is the namesake community or geographic area associated with Canyon Springs High School.
  • D. Stansbury
    Stansbury is a coastal town on South Australia's Yorke Peninsula known for its fishing, beaches, and holiday tourism.
  • E. Tenaya Hall
    Tenaya Hall is a student residential building at UC San Diego’s Revelle College, providing on-campus housing and community spaces for undergraduates.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7aceec8881909cdfa488dfedc0f5 completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6877b8e481908ec1e0b91a5276f6 completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d5441248190a9e32281dc8e8d62 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e20f71c8190959319c6683a2810 completed April 1, 2026, 8:20 p.m.
Created at: March 30, 2026, 5:51 p.m.