Triple

T15674517
Position Surface form Disambiguated ID Type / Status
Subject Peter Farrelly E377405 entity
Predicate familyName P18 FINISHED
Object Farrelly
Farrelly is a surname most prominently associated with American filmmaker Peter Farrelly, known for his work on hit comedy films.
 E1171291 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: Farrelly | Statement: [Peter Farrelly, familyName, Farrelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Farrelly
Context triple: [Peter Farrelly, familyName, Farrelly]
  • A. Ferrell
    Ferrell is the surname of American actress Conchata Ferrell, best known for her role as Berta on the television sitcom "Two and a Half Men."
  • B. Farley
    Farley is a rural-residential suburb in the Maitland region of New South Wales, Australia.
  • C. Farley
    Farley is a surname most notably associated with Jim Farley, an American business executive and CEO of Ford Motor Company.
  • D. Farrell
    Farrell is a surname of Irish origin borne by numerous notable individuals across fields such as entertainment, sports, and politics.
  • E. Farrow
    Farrow is the surname of American actress and humanitarian Mia Farrow, known for her work in film and activism.
  • 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: Farrelly
Triple: [Peter Farrelly, familyName, Farrelly]
Generated description
Farrelly is a surname most prominently associated with American filmmaker Peter Farrelly, known for his work on hit comedy films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Farrelly
Target entity description: Farrelly is a surname most prominently associated with American filmmaker Peter Farrelly, known for his work on hit comedy films.
  • A. Ferrell
    Ferrell is the surname of American actress Conchata Ferrell, best known for her role as Berta on the television sitcom "Two and a Half Men."
  • B. Farley
    Farley is a rural-residential suburb in the Maitland region of New South Wales, Australia.
  • C. Farley
    Farley is a surname most notably associated with Jim Farley, an American business executive and CEO of Ford Motor Company.
  • D. Farrell
    Farrell is a surname of Irish origin borne by numerous notable individuals across fields such as entertainment, sports, and politics.
  • E. Farrow
    Farrow is the surname of American actress and humanitarian Mia Farrow, known for her work in film and activism.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2c996c8190a9ebe0e92608feaa completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6edd85148190b6d5c3981204dd77 completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff6fd9c968819098b2552a9deb0445 completed May 9, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69ff708d42448190a53b90e00721eaa5 completed May 9, 2026, 5:36 p.m.
Created at: April 10, 2026, 4:16 a.m.