Triple

T20655099
Position Surface form Disambiguated ID Type / Status
Subject Frosted Glacier E507601 entity
Predicate hasEnemyType P15619 FINISHED
Object Boo 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: Boo | Statement: [Frosted Glacier, hasEnemyType, Boo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boo
Context triple: [Frosted Glacier, hasEnemyType, Boo]
  • A. Boo
    Boo is a suburban district and island area in the Stockholm archipelago, located within Nacka Municipality in Sweden.
  • B. Boo
    Boo is a statically typed, Python-inspired programming language for the .NET platform that was once used as a primary scripting option in the Unity game engine.
  • C. Boo
    Boo is the young human girl in Pixar's animated film "Monsters, Inc." whose unexpected arrival in the monster world drives the story's central conflict and emotional core.
  • D. Boo chosen
    Boo is a recurring ghost-like enemy in the Super Mario series, known for covering its face when looked at and attacking when the player’s back is turned.
  • E. Boo
    Boo is the reclusive, mysterious neighbor in Harper Lee’s novel "To Kill a Mockingbird," whose true kindness is revealed over the course of the story.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2ec90e881909250884483429acf completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:43 a.m.