Triple

T17025582
Position Surface form Disambiguated ID Type / Status
Subject Enter the Fat Dragon E413055 entity
Predicate title P38 FINISHED
Object Enter the Fat Dragon E413055 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: Enter the Fat Dragon | Statement: [Enter the Fat Dragon, title, Enter the Fat Dragon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enter the Fat Dragon
Context triple: [Enter the Fat Dragon, title, Enter the Fat Dragon]
  • A. Enter the Fat Dragon chosen
    Enter the Fat Dragon is a 1978 Hong Kong martial arts comedy film starring Sammo Hung that parodies Bruce Lee while showcasing Hung’s acrobatic fighting and comic style.
  • B. Here Be Dragons
    Here Be Dragons is an immersive media and virtual reality production studio known for creating innovative, story-driven experiences.
  • C. There Be Dragons
    There Be Dragons is a 2011 historical drama film directed by Roland Joffé that intertwines the story of Spanish priest Josemaría Escrivá with the turmoil of the Spanish Civil War.
  • D. Dragon of Dragons
    Dragon of Dragons is a prestigious fantasy literature award recognizing outstanding works in the Dragonlance universe.
  • E. The Dragon
    The Dragon is the legendary Chinese table tennis player Ma Long, widely regarded as one of the greatest and most dominant players in the sport’s history.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d46a5081908bc5681621dd8534 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b53306081908972a0a5db474b6c completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.