Triple

T22614606
Position Surface form Disambiguated ID Type / Status
Subject Raymond Hatton E566807 entity
Predicate notableWork P4 FINISHED
Object The Trail Beyond 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 Trail Beyond | Statement: [Raymond Hatton, notableWork, The Trail Beyond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Trail Beyond
Context triple: [Raymond Hatton, notableWork, The Trail Beyond]
  • A. The Trail Beyond chosen
    The Trail Beyond is a 1934 Western adventure film starring John Wayne, known for its rugged outdoor cinematography and action-packed storyline.
  • B. The Rugged Path
    The Rugged Path is a post-World War II stage play by American dramatist Robert E. Sherwood that explores the personal and political struggles of a returning war hero.
  • C. Crimson Trail
    Crimson Trail is a popular hiking route in northern Utah’s Logan Canyon known for its steep climb and scenic views over the canyon and Logan River.
  • D. The Lonely Trail
    The Lonely Trail is a 1936 American Western film starring John Wayne, known for its post–Civil War Texas setting and themes of political corruption and regional tension.
  • E. The Last Trail
    The Last Trail is a Western novel by Zane Grey that dramatizes frontier life, conflict, and romance along the early American borderlands.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167ecc7188190bf41fe2177d48e6c completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:58 p.m.