Triple

T6022662
Position Surface form Disambiguated ID Type / Status
Subject Pixie Lott E134100 entity
Predicate nickname P55 FINISHED
Object 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.
 E565235 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 Lott, nickname, Pixie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pixie
Context triple: [Pixie Lott, nickname, Pixie]
  • A. 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.
  • B. Silky the Fairy
    Silky the Fairy is a kind, gentle fairy who lives in the Magic Faraway Tree and helps guide the children through its many strange and magical lands.
  • C. Tiffy
    Tiffy is a common nickname or diminutive form of the given name Tiffany.
  • D. Zibelle
    Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
  • E. Fairy
    Fairy is a popular Procter & Gamble brand of dishwashing detergents and related cleaning products, best known for its strong grease-cutting performance.
  • 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 Lott, nickname, Pixie]
Generated description
Pixie is the stage nickname of English singer, songwriter, and actress Pixie Lott, known for her pop hits in the late 2000s and 2010s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pixie
Target entity description: Pixie is the stage nickname of English singer, songwriter, and actress Pixie Lott, known for her pop hits in the late 2000s and 2010s.
  • A. 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.
  • B. Silky the Fairy
    Silky the Fairy is a kind, gentle fairy who lives in the Magic Faraway Tree and helps guide the children through its many strange and magical lands.
  • C. Tiffy
    Tiffy is a common nickname or diminutive form of the given name Tiffany.
  • D. Zibelle
    Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
  • E. Fairy
    Fairy is a popular Procter & Gamble brand of dishwashing detergents and related cleaning products, best known for its strong grease-cutting performance.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fbbf03c8190baf449a5d393af5c completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1136da26081909b753fa8a2a91084 completed March 23, 2026, 10:18 a.m.
NEDg Description generation batch_69c1174ff40c8190b19011a46eadea70 completed March 23, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_69c117a46d3881908267431287814acd completed March 23, 2026, 10:36 a.m.
Created at: March 22, 2026, 4:07 p.m.