Triple

T2351688
Position Surface form Disambiguated ID Type / Status
Subject Hartnett E47461 entity
Predicate hasNotableBearer P458 FINISHED
Object Steve Hartnett
Steve Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett.
 E271635 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: Steve Hartnett | Statement: [Hartnett, hasNotableBearer, Steve Hartnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Steve Hartnett
Context triple: [Hartnett, hasNotableBearer, Steve Hartnett]
  • A. Ed Hartnett
    Ed Hartnett is an American software developer best known as the creator and primary maintainer of the NetCDF-4 library widely used in scientific computing and data analysis.
  • B. Dan Hart
    Dan Hart is an aerospace executive best known as the former CEO of Virgin Orbit, where he led the company’s small-satellite launch operations.
  • C. Tom Hartman
    Tom Hartman is a central character in the satirical 1970s American soap opera parody "Mary Hartman, Mary Hartman," serving as Mary Hartman’s husband.
  • D. John Ferrell
    John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
  • E. Richard Hagen
    Richard Hagen is a theoretical physicist best known as one of the co-discoverers of the Higgs mechanism in particle physics.
  • 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: Steve Hartnett
Triple: [Hartnett, hasNotableBearer, Steve Hartnett]
Generated description
Steve Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Steve Hartnett
Target entity description: Steve Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett.
  • A. Ed Hartnett
    Ed Hartnett is an American software developer best known as the creator and primary maintainer of the NetCDF-4 library widely used in scientific computing and data analysis.
  • B. Dan Hart
    Dan Hart is an aerospace executive best known as the former CEO of Virgin Orbit, where he led the company’s small-satellite launch operations.
  • C. Tom Hartman
    Tom Hartman is a central character in the satirical 1970s American soap opera parody "Mary Hartman, Mary Hartman," serving as Mary Hartman’s husband.
  • D. John Ferrell
    John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
  • E. Richard Hagen
    Richard Hagen is a theoretical physicist best known as one of the co-discoverers of the Higgs mechanism in particle physics.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f75d888190a2e41edaa532e83f completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f7ac4c8819091132fa9cb265552 completed March 9, 2026, 7:28 p.m.
NEDg Description generation batch_69af200e2db4819085851a45213edc89 completed March 9, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69af208dfab081909d706aad8ff5f615 completed March 9, 2026, 7:33 p.m.
Created at: March 4, 2026, 7:54 p.m.