Triple

T3003685
Position Surface form Disambiguated ID Type / Status
Subject Will Arnett E81847 entity
Predicate familyName P18 FINISHED
Object Arnett
Arnett is a surname most prominently associated with Canadian actor and comedian Will Arnett, known for roles in "Arrested Development" and various animated films.
 E319390 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: Arnett | Statement: [Will Arnett, familyName, Arnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arnett
Context triple: [Will Arnett, familyName, Arnett]
  • A. Younger
    Younger is a television comedy-drama series about a 40-year-old woman who pretends to be in her twenties to reenter the competitive publishing industry.
  • B. Youth
    Youth is a British musician and record producer best known as the bassist and founding member of the band Killing Joke and for his influential work in post-punk and electronic music.
  • C. Youth
    "Youth" is a section of Peter Kropotkin’s autobiographical work *Memoirs of a Revolutionist*, recounting his early life and formative experiences.
  • D. Yount
    Yount is a surname most notably associated with American frontiersman and early California settler George C. Yount.
  • E. Junior
    Junior is the protagonist of the novel "Love" by Toni Morrison, around whom the story’s complex relationships and themes of desire, memory, and power revolve.
  • 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: Arnett
Triple: [Will Arnett, familyName, Arnett]
Generated description
Arnett is a surname most prominently associated with Canadian actor and comedian Will Arnett, known for roles in "Arrested Development" and various animated films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arnett
Target entity description: Arnett is a surname most prominently associated with Canadian actor and comedian Will Arnett, known for roles in "Arrested Development" and various animated films.
  • A. Younger
    Younger is a television comedy-drama series about a 40-year-old woman who pretends to be in her twenties to reenter the competitive publishing industry.
  • B. Youth
    Youth is a British musician and record producer best known as the bassist and founding member of the band Killing Joke and for his influential work in post-punk and electronic music.
  • C. Youth
    "Youth" is a section of Peter Kropotkin’s autobiographical work *Memoirs of a Revolutionist*, recounting his early life and formative experiences.
  • D. Yount
    Yount is a surname most notably associated with American frontiersman and early California settler George C. Yount.
  • E. Junior
    Junior is the protagonist of the novel "Love" by Toni Morrison, around whom the story’s complex relationships and themes of desire, memory, and power revolve.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a149b248190ac4f11afc4871cc1 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e5302c881908294827106b314e4 completed March 11, 2026, 8:56 a.m.
NEDg Description generation batch_69b12ed522148190b25ad1de42b1604d completed March 11, 2026, 8:59 a.m.
NED2 Entity disambiguation (via description) batch_69b1d65c9550819081e8734cece6ff13 completed March 11, 2026, 8:53 p.m.
Created at: March 8, 2026, 2:59 p.m.