Triple

T19914793
Position Surface form Disambiguated ID Type / Status
Subject Watership Down E478637 entity
Predicate setting P1957 FINISHED
Object Watership Down hill 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: Watership Down hill | Statement: [Watership Down, setting, Watership Down hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Watership Down hill
Context triple: [Watership Down, setting, Watership Down hill]
  • A. Watership Down chosen
    Watership Down is a classic 1972 adventure novel by Richard Adams that follows a group of rabbits fleeing the destruction of their warren to establish a new home, exploring themes of survival, leadership, and freedom.
  • B. Vale of the Vole
    Vale of the Vole is a humorous fantasy novel in Piers Anthony’s Xanth series, following magical misadventures in a pun-filled, whimsical world.
  • C. The Hedgehog
    The Hedgehog is the nickname of Ron Jeremy, a notorious American adult film actor known for his prolific career and distinctive appearance.
  • D. The Hares
    The Hares is the nickname of March Town United F.C., an English football club based in March, Cambridgeshire.
  • E. Las Ovejas
    Las Ovejas is a small town in Argentina’s Neuquén Province, known as a gateway to the scenic Andean landscapes and nearby volcanic and thermal attractions.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6599394f081909246006c2e83bacc completed April 20, 2026, 4:51 p.m.
Created at: April 10, 2026, 1:53 p.m.