Triple

T19492194
Position Surface form Disambiguated ID Type / Status
Subject Pedalion E487678 entity
Predicate hasNickname P39 FINISHED
Object The Rudder 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 Rudder | Statement: [Pedalion, hasNickname, The Rudder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Rudder
Context triple: [Pedalion, hasNickname, The Rudder]
  • A. The Rudder chosen
    The Rudder is a foundational compendium of Eastern Orthodox canon law and church regulations, widely used as an authoritative guide for ecclesiastical discipline and practice.
  • B. The Helmsman
    "The Helmsman" is a modernist poem by H.D. that explores themes of desire, control, and emotional navigation through vivid maritime imagery.
  • C. The Keel Row
    The Keel Row is a traditional English folk tune widely used as a military march and associated with various British and Commonwealth regiments.
  • D. The Seafarers
    The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
  • E. The Lightship
    "The Lightship" is a 1985 drama film, based on a Siegfried Lenz novella, about a morally conflicted captain whose isolated vessel is taken over by criminals.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6348f4d708190a6e612863fee4b97 completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:39 p.m.