Triple

T7644744
Position Surface form Disambiguated ID Type / Status
Subject Pluto E173091 entity
Predicate hasFriend P8712 FINISHED
Object Figaro
Figaro is the playful black-and-white kitten from Disney’s classic animated films, best known as a companion to characters like Geppetto and Minnie Mouse.
 E677964 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: Figaro | Statement: [Pluto, hasFriend, Figaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Figaro
Context triple: [Pluto, hasFriend, Figaro]
  • A. Figaro
    Figaro is a production company known for its work on the cooking and lifestyle television series "The Barefoot Contessa."
  • B. Figaro
    Figaro is the clever, quick-witted barber who serves as the central character in Beaumarchais’s plays and later in Rossini’s opera "The Barber of Seville."
  • C. Brighella
    Brighella is a cunning, roguish servant character from the Italian commedia dell’arte tradition, often portrayed as Harlequin’s sly and scheming counterpart.
  • D. René de Travière
    René de Travière is a fictional character from the swashbuckling adventure film "The Purple Mask," set in post-Napoleonic France.
  • E. Grumio
    Grumio is a comic servant character in William Shakespeare's play "The Taming of the Shrew," known for his humorous misunderstandings and interactions with his master Petruchio.
  • 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: Figaro
Triple: [Pluto, hasFriend, Figaro]
Generated description
Figaro is the playful black-and-white kitten from Disney’s classic animated films, best known as a companion to characters like Geppetto and Minnie Mouse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Figaro
Target entity description: Figaro is the playful black-and-white kitten from Disney’s classic animated films, best known as a companion to characters like Geppetto and Minnie Mouse.
  • A. Figaro
    Figaro is the clever, quick-witted barber who serves as the central character in Beaumarchais’s plays and later in Rossini’s opera "The Barber of Seville."
  • B. Figaro
    Figaro is a production company known for its work on the cooking and lifestyle television series "The Barefoot Contessa."
  • C. Brighella
    Brighella is a cunning, roguish servant character from the Italian commedia dell’arte tradition, often portrayed as Harlequin’s sly and scheming counterpart.
  • D. René de Travière
    René de Travière is a fictional character from the swashbuckling adventure film "The Purple Mask," set in post-Napoleonic France.
  • E. Grumio
    Grumio is a comic servant character in William Shakespeare's play "The Taming of the Shrew," known for his humorous misunderstandings and interactions with his master Petruchio.
  • 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.