Triple

T16356803
Position Surface form Disambiguated ID Type / Status
Subject Clouds Over Sidra E397201 entity
Predicate producer P490 FINISHED
Object Here Be Dragons E397207 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: Here Be Dragons | Statement: [Clouds Over Sidra, producer, Here Be Dragons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Here Be Dragons
Context triple: [Clouds Over Sidra, producer, Here Be Dragons]
  • A. Here Be Dragons chosen
    Here Be Dragons is an immersive media and virtual reality production studio known for creating innovative, story-driven experiences.
  • B. 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.
  • C. Dragon of Dragons
    Dragon of Dragons is a prestigious fantasy literature award recognizing outstanding works in the Dragonlance universe.
  • D. Les Dragons
    Les Dragons is the nickname of AS Cannes, a French sports club best known for its football team.
  • E. The Book of Dragons
    The Book of Dragons is a fantasy anthology edited by Navah Wolfe that collects original dragon-themed stories from a wide range of acclaimed speculative fiction authors.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facf67e0819089a23ce6f5642fbe completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00355df6188190929be8584b5ac87e completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:07 a.m.