Triple

T16750918
Position Surface form Disambiguated ID Type / Status
Subject Olivia Cooke E407073 entity
Predicate notableWork P4 FINISHED
Object 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.
E1232106 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: [Olivia Cooke, notableWork, Pixie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pixie
Context triple: [Olivia Cooke, notableWork, 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. Chinky the pixie
    Chinky the pixie is a mischievous magical creature who accompanies children on fantastical flying adventures in Enid Blyton’s Wishing-Chair stories.
  • 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: [Olivia Cooke, notableWork, Pixie]
Generated description
Pixie is a 2020 Irish crime-comedy film in which Olivia Cooke stars as a young woman orchestrating a heist that spirals into chaos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pixie
Target entity description: Pixie is a 2020 Irish crime-comedy film in which Olivia Cooke stars as a young woman orchestrating a heist that spirals into chaos.
  • 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. Chinky the pixie
    Chinky the pixie is a mischievous magical creature who accompanies children on fantastical flying adventures in Enid Blyton’s Wishing-Chair stories.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa271de48190b4a535408aeef734 completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52402848190b029cb0be31b4c74 completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a5c4e934819088db49d81be154c3 completed May 10, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_6a00a6b84d288190aeccb06745146b80 completed May 10, 2026, 3:39 p.m.
Created at: April 10, 2026, 5:21 a.m.