Triple

T19335565
Position Surface form Disambiguated ID Type / Status
Subject The Green Fairy Book E483612 entity
Predicate hasPart P35 FINISHED
Object The Story of the Prince Who Wanted to See the World NE NERFINISHED

How this triple was built (3 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: The Story of the Prince Who Wanted to See the World | Statement: [The Green Fairy Book, hasPart, The Story of the Prince Who Wanted to See the World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Story of the Prince Who Wanted to See the World
Context triple: [The Green Fairy Book, hasPart, The Story of the Prince Who Wanted to See the World]
  • A. The Prince Who Wanted Everything
    "The Prince Who Wanted Everything" is a song by American rock band Weezer from their 2019 self-titled "Black Album," blending quirky lyrics with the band's characteristic melodic rock style.
  • B. The Little Kingdom
    The Little Kingdom is a nonfiction book by Michael Moritz that chronicles the early history and rise of Apple Computer and its founders.
  • C. The Beggar Prince
    The Beggar Prince is a silent-era film featuring pioneering Japanese actor Sessue Hayakawa in a leading role.
  • D. The Little Lame Prince and His Travelling Cloak
    The Little Lame Prince and His Travelling Cloak is a 19th-century children's fantasy novella about a disabled prince who gains freedom and perspective through a magical traveling cloak.
  • E. The Garden of the Princess
    The Garden of the Princess is an 1867 oil painting by Claude Monet depicting a sunlit Parisian garden scene near the Louvre.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Story of the Prince Who Wanted to See the World
Target entity description: "The Story of the Prince Who Wanted to See the World" is a literary fairy tale about a curious prince who leaves his home to explore distant lands and learn from his adventures.
  • A. The Prince Who Wanted Everything
    "The Prince Who Wanted Everything" is a song by American rock band Weezer from their 2019 self-titled "Black Album," blending quirky lyrics with the band's characteristic melodic rock style.
  • B. The Little Kingdom
    The Little Kingdom is a nonfiction book by Michael Moritz that chronicles the early history and rise of Apple Computer and its founders.
  • C. The Beggar Prince
    The Beggar Prince is a silent-era film featuring pioneering Japanese actor Sessue Hayakawa in a leading role.
  • D. The Little Lame Prince and His Travelling Cloak
    The Little Lame Prince and His Travelling Cloak is a 19th-century children's fantasy novella about a disabled prince who gains freedom and perspective through a magical traveling cloak.
  • E. The Garden of the Princess
    The Garden of the Princess is an 1867 oil painting by Claude Monet depicting a sunlit Parisian garden scene near the Louvre.
  • F. None of above. chosen

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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61644b80c819080f9bca086424a36 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.