Triple

T4647902
Position Surface form Disambiguated ID Type / Status
Subject Thalia E102218 entity
Predicate epithet P743 FINISHED
Object Muse of comedy
The Muse of comedy is the Greek goddess who inspires laughter, light-hearted poetry, and comedic theater.
 E457082 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: Muse of comedy | Statement: [Thalia, epithet, Muse of comedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muse of comedy
Context triple: [Thalia, epithet, Muse of comedy]
  • A. Comedy Partners
    Comedy Partners is a television production company best known for creating and producing popular Comedy Central shows such as The Daily Show and South Park.
  • B. Lady Dynamite
    Lady Dynamite is a surreal, semi-autobiographical Netflix comedy series starring Maria Bamford that blends stand-up, sketch, and narrative to explore mental illness and show business.
  • C. The Comedian
    The Comedian is a brutal, cynical costumed vigilante whose violent worldview and mysterious death help drive the dark, deconstructive narrative of Watchmen.
  • D. Kid Dynamite
    Kid Dynamite is an early-career nickname of Mike Tyson, reflecting his explosive power and ferocious knockout style in the boxing ring.
  • E. Belaugh
    Belaugh is a small, picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
  • 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: Muse of comedy
Triple: [Thalia, epithet, Muse of comedy]
Generated description
The Muse of comedy is the Greek goddess who inspires laughter, light-hearted poetry, and comedic theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muse of comedy
Target entity description: The Muse of comedy is the Greek goddess who inspires laughter, light-hearted poetry, and comedic theater.
  • A. Comedy Partners
    Comedy Partners is a television production company best known for creating and producing popular Comedy Central shows such as The Daily Show and South Park.
  • B. Lady Dynamite
    Lady Dynamite is a surreal, semi-autobiographical Netflix comedy series starring Maria Bamford that blends stand-up, sketch, and narrative to explore mental illness and show business.
  • C. The Comedian
    The Comedian is a brutal, cynical costumed vigilante whose violent worldview and mysterious death help drive the dark, deconstructive narrative of Watchmen.
  • D. Kid Dynamite
    Kid Dynamite is an early-career nickname of Mike Tyson, reflecting his explosive power and ferocious knockout style in the boxing ring.
  • E. Belaugh
    Belaugh is a small, picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd62feeb6c8190a7807c37e9a6fa00 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfadfe8b4819088a5fb1565bbe94a completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfb9422e48190819d5d99e72e8854 completed March 21, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc6ac91c819090776365d3dc05d4 completed March 21, 2026, 2:03 a.m.
Created at: March 20, 2026, 1:14 p.m.