Triple

T7865558
Position Surface form Disambiguated ID Type / Status
Subject Toy Story Hotel E182604 entity
Predicate hasWing P35 FINISHED
Object Buzz Lightyear wing E236458 NE FINISHED

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: Buzz Lightyear wing | Statement: [Toy Story Hotel, hasWing, Buzz Lightyear wing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buzz Lightyear wing
Context triple: [Toy Story Hotel, hasWing, Buzz Lightyear wing]
  • A. Buzz Lightyear chosen
    Buzz Lightyear is a heroic space ranger action figure from Pixar's Toy Story franchise, known for his catchphrase "To infinity and beyond!" and his journey from deluded toy to loyal friend.
  • B. Wing
    Wing is an experimental mobile operating system and user interface project developed by X (formerly Google X) to explore new paradigms in smartphone interaction and design.
  • C. Wing
    Wing is an Alphabet Inc. subsidiary focused on developing and operating drone-based delivery services and related logistics technologies.
  • D. P-Wing
    P-Wing is a special power-up item in the Super Mario series that grants Mario continuous flight for an entire level.
  • E. Batwing Spaceshot
    Batwing Spaceshot is a DC Comics–themed space shot thrill ride at Warner Bros. Movie World that launches riders rapidly upward before dropping them in a high-speed freefall.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3844eacc81908f8e1e5fc4dafec8 completed March 31, 2026, 2:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b5908a88190bc00f0d6dbde0b58 completed March 31, 2026, 5:27 a.m.
Created at: March 30, 2026, 4:54 p.m.