Triple

T11042766
Position Surface form Disambiguated ID Type / Status
Subject Count Robert of Paris E261058 entity
Predicate follows P134 FINISHED
Object Castle Dangerous E276552 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: Castle Dangerous | Statement: [Count Robert of Paris, follows, Castle Dangerous]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castle Dangerous
Context triple: [Count Robert of Paris, follows, Castle Dangerous]
  • A. Castle Dangerous chosen
    Castle Dangerous is a historic Scottish stronghold associated with the Douglas family and famed as the setting and title inspiration for Sir Walter Scott’s novel "Castle Dangerous."
  • B. The Spy
    The Spy is a film featuring Russian actress Svetlana Khodchenkova in a prominent role within a Cold War espionage narrative.
  • C. The Spy
    "The Spy" is an 1821 historical novel by James Fenimore Cooper set during the American Revolutionary War, often regarded as one of the earliest major works of American fiction.
  • D. Spooks
    Spooks is a British television spy drama series centered on the high-stakes operations of MI5 officers.
  • E. Family of Spies
    Family of Spies is a television film about espionage and betrayal, best known as one of producer Gerald W. Abrams’s prominent works.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7980134c8819098122d83380a1f79 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9e525508190bf3a728683eeec79 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.