Triple

T10648574
Position Surface form Disambiguated ID Type / Status
Subject David Lowery E250899 entity
Predicate notableWork P4 FINISHED
Object Pete's Dragon E89078 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: Pete's Dragon | Statement: [David Lowery, notableWork, Pete's Dragon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pete's Dragon
Context triple: [David Lowery, notableWork, Pete's Dragon]
  • A. Pete's Dragon chosen
    Pete's Dragon is a 2016 Disney fantasy adventure film about an orphaned boy and his friendship with a mysterious dragon in the Pacific Northwest.
  • B. Dumbo
    Dumbo is the nickname of the Curtiss C-46 Commando, a World War II-era American military transport aircraft known for its large cargo capacity and service in challenging flying conditions.
  • C. Peter Pan’s Flight
    Peter Pan’s Flight is a classic dark ride found in several Disney theme parks that takes guests on an aerial journey over scenes from the animated film Peter Pan.
  • D. Peter Pan Live!
    Peter Pan Live! is a televised musical production that adapts the classic Peter Pan story for live broadcast, featuring elaborate staging, songs, and performances.
  • E. Tinker Bell
    Tinker Bell is a mischievous fairy from the Peter Pan stories, best known for her small size, magical pixie dust, and iconic status in popular culture and Disney media.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe3ea08819094a945ebb7fc4d3a completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a60fdd881908987f920a19bb41e completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:06 p.m.