Triple

T17563207
Position Surface form Disambiguated ID Type / Status
Subject Shauna E427742 entity
Predicate relatedName P3889 FINISHED
Object Shaun NE NERFINISHED

How this triple was built (2 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: Shaun | Statement: [Shauna, relatedName, Shaun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaun
Context triple: [Shauna, relatedName, Shaun]
  • A. Shaun
    Shaun is a given name associated with the English actor Sean Bean, known for his roles in film and television such as "The Lord of the Rings" and "Game of Thrones."
  • B. Shaun
    Shaun is one of the principal, allegorical figures in James Joyce’s experimental novel *Finnegans Wake*, often interpreted as a rivalrous brother and foil to Shem within the book’s dreamlike family drama.
  • C. Shaun
    Shaun is the hapless yet determined protagonist of the British zombie comedy film "Shaun of the Dead," known for his slacker lifestyle and reluctant heroism during a zombie outbreak.
  • D. Shaun chosen
    Shaun is a masculine given name commonly used in English-speaking countries, often considered a variant of Sean or Shawn.
  • E. Shawn
    Shawn is a given name, typically a variant of the name John or Sean, used primarily in English-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e456285c808190953a49e77366d8bd completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.