Triple

T7644297
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Groff E173082 entity
Predicate familyName P18 FINISHED
Object Groff
Groff is a surname most prominently associated with American actor and singer Jonathan Groff, known for his work in musical theatre, television, and film.
 E677937 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: Groff | Statement: [Jonathan Groff, familyName, Groff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Groff
Context triple: [Jonathan Groff, familyName, Groff]
  • A. Gutenberg
    Gutenberg is the block-based content editor introduced in WordPress to enable more flexible, visual page and post creation.
  • B. Goff
    Goff is a surname most notably associated with Bruce Goff, an innovative American architect known for his unconventional and organic designs.
  • C. Backus
    Backus is a surname most notably associated with John Backus, the American computer scientist who led the development of the Fortran programming language.
  • D. Kress
    Kress is a surname most notably associated with Harold F. Kress, an Academy Award–winning American film editor.
  • E. Garafía
    Garafía is a rural municipality on the island of La Palma in Spain’s Canary Islands, known for its rugged coastline, traditional agriculture, and dark-sky stargazing conditions.
  • 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: Groff
Triple: [Jonathan Groff, familyName, Groff]
Generated description
Groff is a surname most prominently associated with American actor and singer Jonathan Groff, known for his work in musical theatre, television, and film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Groff
Target entity description: Groff is a surname most prominently associated with American actor and singer Jonathan Groff, known for his work in musical theatre, television, and film.
  • A. Gutenberg
    Gutenberg is the block-based content editor introduced in WordPress to enable more flexible, visual page and post creation.
  • B. Goff
    Goff is a surname most notably associated with Bruce Goff, an innovative American architect known for his unconventional and organic designs.
  • C. Backus
    Backus is a surname most notably associated with John Backus, the American computer scientist who led the development of the Fortran programming language.
  • D. Kress
    Kress is a surname most notably associated with Harold F. Kress, an Academy Award–winning American film editor.
  • E. Garafía
    Garafía is a rural municipality on the island of La Palma in Spain’s Canary Islands, known for its rugged coastline, traditional agriculture, and dark-sky stargazing conditions.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faf13858819095262664e1e04eb7 completed March 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870d510f08190ad7706f582e8c1a0 completed March 29, 2026, 12:22 a.m.
NEDg Description generation batch_69c87328c2cc81908b9fb89f5fee062e completed March 29, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69c873846a188190a3a1cc56ac247fb0 completed March 29, 2026, 12:34 a.m.
Created at: March 27, 2026, 3:58 p.m.