Triple

T21992192
Position Surface form Disambiguated ID Type / Status
Subject Pixie Davies E543118 entity
Predicate givenName P17 FINISHED
Object Pixie
Pixie is a British child actress best known for her roles in films such as "Miss Peregrine's Home for Peculiar Children" and "Mary Poppins Returns."
 E1511826 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: Pixie | Statement: [Pixie Davies, givenName, Pixie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pixie
Context triple: [Pixie Davies, givenName, Pixie]
  • A. Pixie
    Pixie is the stage nickname of English singer, songwriter, and actress Pixie Lott, known for her pop hits in the late 2000s and 2010s.
  • B. Pixie
    Pixie is a small, clever cartoon mouse from the classic Hanna-Barbera series "The Huckleberry Hound Show," often seen teaming up with his fellow mouse Dixie in comedic escapades.
  • C. Pixie
    Pixie is a Marvel Comics mutant superhero known for her pink hair, insect-like wings, and teleportation magic, who has served on various X-Men–related teams.
  • D. Pixie
    Pixie is an open-source observability platform that provides automatic, in-cluster monitoring and debugging for Kubernetes applications using eBPF-based data collection.
  • E. Pixie
    Pixie is a 2020 Irish crime-comedy film in which Olivia Cooke stars as a young woman orchestrating a heist that spirals into chaos.
  • 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: Pixie
Triple: [Pixie Davies, givenName, Pixie]
Generated description
Pixie is a British child actress best known for her roles in films such as "Miss Peregrine's Home for Peculiar Children" and "Mary Poppins Returns."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pixie
Target entity description: Pixie is a British child actress best known for her roles in films such as "Miss Peregrine's Home for Peculiar Children" and "Mary Poppins Returns."
  • A. Pixie
    Pixie is the stage nickname of English singer, songwriter, and actress Pixie Lott, known for her pop hits in the late 2000s and 2010s.
  • B. Pixie
    Pixie is a small, clever cartoon mouse from the classic Hanna-Barbera series "The Huckleberry Hound Show," often seen teaming up with his fellow mouse Dixie in comedic escapades.
  • C. Pixie
    Pixie is a Marvel Comics mutant superhero known for her pink hair, insect-like wings, and teleportation magic, who has served on various X-Men–related teams.
  • D. Pixie
    Pixie is an open-source observability platform that provides automatic, in-cluster monitoring and debugging for Kubernetes applications using eBPF-based data collection.
  • E. Pixie
    Pixie is a 2020 Irish crime-comedy film in which Olivia Cooke stars as a young woman orchestrating a heist that spirals into chaos.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270e951081908deda039b47ca84b completed April 28, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6d83bce081908bf1ed6115fe0f9e completed May 18, 2026, 1:38 a.m.
NEDg Description generation batch_6a0a6df4b3908190800df70ea35c87d5 completed May 18, 2026, 1:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0a6e787abc8190b192770e4d3e8daa completed May 18, 2026, 1:42 a.m.
Created at: April 16, 2026, 8:05 p.m.