Triple

T7558281
Position Surface form Disambiguated ID Type / Status
Subject Harry E178727 entity
Predicate hasVariantSpelling P457 FINISHED
Object Harrie
Harrie is a given name, typically a variant spelling of Harry, used for both males and females in various countries.
 E676640 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: Harrie | Statement: [Harry, hasVariantSpelling, Harrie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harrie
Context triple: [Harry, hasVariantSpelling, Harrie]
  • A. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • B. Harper
    Harper is a small community located in Raleigh County, West Virginia, in the United States.
  • C. Harper
    "Harper" is a 1966 neo-noir mystery film, adapted by screenwriter William Goldman from Ross Macdonald’s novel "The Moving Target" and starring Paul Newman as private detective Lew Harper.
  • D. Harper
    Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
  • E. Harper
    Harper is a central character in the young adult novel "Watch Over Me," whose experiences and relationships drive much of the story’s emotional arc.
  • 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: Harrie
Triple: [Harry, hasVariantSpelling, Harrie]
Generated description
Harrie is a given name, typically a variant spelling of Harry, used for both males and females in various countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harrie
Target entity description: Harrie is a given name, typically a variant spelling of Harry, used for both males and females in various countries.
  • A. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • B. Harper
    Harper is a small community located in Raleigh County, West Virginia, in the United States.
  • C. Harper
    Harper is a central character in the young adult novel "Watch Over Me," whose experiences and relationships drive much of the story’s emotional arc.
  • D. Harper
    "Harper" is a 1966 neo-noir mystery film, adapted by screenwriter William Goldman from Ross Macdonald’s novel "The Moving Target" and starring Paul Newman as private detective Lew Harper.
  • E. Harper
    Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8db3d508190850ed41854d69838 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8683978b48190971b4c38fd83d3cc completed March 28, 2026, 11:46 p.m.
NEDg Description generation batch_69c869588d008190adc28df91a99f09f completed March 28, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_69c86a1f1bfc8190b25597a030613e08 completed March 28, 2026, 11:54 p.m.
Created at: March 27, 2026, 3:50 p.m.