Triple

T15230586
Position Surface form Disambiguated ID Type / Status
Subject McCool E363988 entity
Predicate hasVariant P455 FINISHED
Object McCole
McCole is a surname, likely of Irish or Scottish origin, that serves as a variant spelling of the name McCool.
E1144889 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: McCole | Statement: [McCool, hasVariant, McCole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McCole
Context triple: [McCool, hasVariant, McCole]
  • A. Collett
    Collett is the surname of Australian actress and producer Toni Collette, known for her versatile performances in film, television, and theatre.
  • B. Conoley
    Conoley is the surname of Jane Close Conoley, an American psychologist and academic administrator known for serving as president of California State University, Long Beach.
  • C. Kole
    Kole is a music producer known for working on the album "Songs About Girls."
  • D. Coyle
    Coyle is the petitioner in the U.S. Supreme Court case Coyle v. Smith, which addressed the constitutional limits on conditions placed upon states at the time of their admission to the Union.
  • E. McKaley
    McKaley is an American actress best known for her roles in television series such as "Hart of Dixie" and "Scream Queens."
  • 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: McCole
Triple: [McCool, hasVariant, McCole]
Generated description
McCole is a surname, likely of Irish or Scottish origin, that serves as a variant spelling of the name McCool.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: McCole
Target entity description: McCole is a surname, likely of Irish or Scottish origin, that serves as a variant spelling of the name McCool.
  • A. Collett
    Collett is the surname of Australian actress and producer Toni Collette, known for her versatile performances in film, television, and theatre.
  • B. Conoley
    Conoley is the surname of Jane Close Conoley, an American psychologist and academic administrator known for serving as president of California State University, Long Beach.
  • C. Kole
    Kole is a music producer known for working on the album "Songs About Girls."
  • D. Coyle
    Coyle is the petitioner in the U.S. Supreme Court case Coyle v. Smith, which addressed the constitutional limits on conditions placed upon states at the time of their admission to the Union.
  • E. McKaley
    McKaley is an American actress best known for her roles in television series such as "Hart of Dixie" and "Scream Queens."
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078e27408190bc13c0ca441f5594 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd39d42881908f2ad47613e23bfa completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf277f888190a7e218131740660d completed May 9, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_69fedfa514808190b4a50e87833c5f69 completed May 9, 2026, 7:17 a.m.
Created at: April 10, 2026, 3:12 a.m.