Triple

T15033576
Position Surface form Disambiguated ID Type / Status
Subject Lily Cole E378418 entity
Predicate appearedInFilm P795 FINISHED
Object There Be Dragons E926477 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: There Be Dragons | Statement: [Lily Cole, appearedInFilm, There Be Dragons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: There Be Dragons
Context triple: [Lily Cole, appearedInFilm, There Be Dragons]
  • A. There Be Dragons chosen
    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.
  • B. Here Be Dragons
    Here Be Dragons is an immersive media and virtual reality production studio known for creating innovative, story-driven experiences.
  • C. Les Dragons
    Les Dragons is the nickname of AS Cannes, a French sports club best known for its football team.
  • D. Dragons
    Dragons is the common short name for the Chunichi Dragons, a professional baseball team based in Nagoya, Japan, that competes in Nippon Professional Baseball’s Central League.
  • E. Dragons
    Dragons are legendary, often fire-breathing reptilian creatures that appear in the mythologies and folklore of many cultures around the world.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e3a7c8819081f26c2435c1bcb2 completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dddd0208190b2dac7a078de2931 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:59 a.m.