Triple

T12295069
Position Surface form Disambiguated ID Type / Status
Subject Missi Pyle E293062 entity
Predicate nickname P55 FINISHED
Object Missi
Missi is an American actress and singer known for her comedic and character roles in film and television, including appearances in "Dodgeball," "Galaxy Quest," and "Charlie and the Chocolate Factory."
 E975304 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: Missi | Statement: [Missi Pyle, nickname, Missi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Missi
Context triple: [Missi Pyle, nickname, Missi]
  • A. Missy
    Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
  • B. Missy
    Missy is a small Swiss municipality located in the canton of Vaud.
  • C. Missy Gold
    Missy Gold is an American former child actress best known for her role as Katie Gatling on the 1980s sitcom "Benson."
  • D. Vonetta
    Vonetta is a feminine given name most notably borne by American bobsledder and Olympic gold medalist Vonetta Flowers.
  • E. Misti
    Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
  • 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: Missi
Triple: [Missi Pyle, nickname, Missi]
Generated description
Missi is an American actress and singer known for her comedic and character roles in film and television, including appearances in "Dodgeball," "Galaxy Quest," and "Charlie and the Chocolate Factory."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Missi
Target entity description: Missi is an American actress and singer known for her comedic and character roles in film and television, including appearances in "Dodgeball," "Galaxy Quest," and "Charlie and the Chocolate Factory."
  • A. Missy
    Missy is a small Swiss municipality located in the canton of Vaud.
  • B. Missy
    Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
  • C. Missy Gold
    Missy Gold is an American former child actress best known for her role as Katie Gatling on the 1980s sitcom "Benson."
  • D. Vonetta
    Vonetta is a feminine given name most notably borne by American bobsledder and Olympic gold medalist Vonetta Flowers.
  • E. Misti
    Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93ed7251c8190b94d7cd75ad49b9c completed April 10, 2026, 6:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e79bf548190bf7f314222ed1ed1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f62260d6708190808e52935a27e2c1 completed May 2, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_69f6230f4c8081908a759efa43b4800b completed May 2, 2026, 4:15 p.m.
Created at: April 8, 2026, 9:52 p.m.