Triple

T2351695
Position Surface form Disambiguated ID Type / Status
Subject Hartnett E47461 entity
Predicate hasNotableBearer P458 FINISHED
Object Mike Hartnett
Mike Hartnett is a person notable enough to be recognized as a distinct individual, though specific widely known public details about him are not clearly established.
E282031 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: Mike Hartnett | Statement: [Hartnett, hasNotableBearer, Mike Hartnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Hartnett
Context triple: [Hartnett, hasNotableBearer, Mike 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. Tom Hartnett
    Tom Hartnett is a notable individual distinguished enough to be recognized as a prominent bearer of the Hartnett surname.
  • 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. Patrick Hartnett
    Patrick Hartnett is a person notable enough to be specifically cited as a bearer of the surname Hartnett.
  • E. Steve Hartnett
    Steve Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett.
  • 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: Mike Hartnett
Triple: [Hartnett, hasNotableBearer, Mike Hartnett]
Generated description
Mike Hartnett is a person notable enough to be recognized as a distinct individual, though specific widely known public details about him are not clearly established.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mike Hartnett
Target entity description: Mike Hartnett is a person notable enough to be recognized as a distinct individual, though specific widely known public details about him are not clearly established.
  • 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. Tom Hartnett
    Tom Hartnett is a notable individual distinguished enough to be recognized as a prominent bearer of the Hartnett surname.
  • 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. Patrick Hartnett
    Patrick Hartnett is a person notable enough to be specifically cited as a bearer of the surname Hartnett.
  • E. Steve Hartnett
    Steve Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett.
  • 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_69af836559908190800f3be44aecd82f completed March 10, 2026, 2:35 a.m.
NEDg Description generation batch_69af858124908190b2c717aa1a44ee33 completed March 10, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69af86371b6c8190b17a7e57df9b4fb3 completed March 10, 2026, 2:47 a.m.
Created at: March 4, 2026, 7:54 p.m.