Triple

T21212686
Position Surface form Disambiguated ID Type / Status
Subject Yevgeny Zamyatin E522757 entity
Predicate wrote P2831 FINISHED
Object The Dragon NE NERFINISHED

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: The Dragon | Statement: [Yevgeny Zamyatin, wrote, The Dragon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Dragon
Context triple: [Yevgeny Zamyatin, wrote, The Dragon]
  • A. The Dragon
    The Dragon is a renowned martial arts school known for its rigorous training and emphasis on traditional fighting techniques.
  • B. The Dragon
    The Dragon is a prominent mountain peak in Tasmania’s remote Frankland Range, known for its rugged terrain and challenging access for experienced bushwalkers and climbers.
  • C. The Dragon chosen
    The Dragon is a satirical play by Yevgeny Zamyatin that critiques totalitarianism and the cyclical nature of tyranny through the allegory of a town ruled by a dragon.
  • D. The Dragon
    "The Dragon" is a track from Vangelis's 1979 electronic music album "China," blending synthesizer-driven soundscapes with an evocative, atmospheric style.
  • 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 (2 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7346f762c8190a9f57d9e00d94d28 completed April 21, 2026, 8:25 a.m.
Created at: April 16, 2026, 3:38 p.m.