Triple

T21035673
Position Surface form Disambiguated ID Type / Status
Subject Beulah Marie Dix E518182 entity
Predicate notableWork P4 FINISHED
Object The Road to Yesterday 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 Road to Yesterday | Statement: [Beulah Marie Dix, notableWork, The Road to Yesterday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Road to Yesterday
Context triple: [Beulah Marie Dix, notableWork, The Road to Yesterday]
  • A. The Road to Yesterday chosen
    The Road to Yesterday is a 1925 American silent fantasy drama film directed by Cecil B. DeMille.
  • B. The Road to Here
    The Road to Here is a 2005 country music album by Little Big Town that helped establish the group’s signature harmonies and brought them mainstream recognition.
  • C. The Road Between
    The Road Between is a work (likely a song or track) associated with the musical release "To Whom It May Concern."
  • D. The Road Back
    The Road Back is a 1931 novel by Erich Maria Remarque that follows German soldiers struggling to readjust to civilian life after the trauma of World War I, serving as a companion to his famous work All Quiet on the Western Front.
  • E. The Road of Memory
    The Road of Memory is a poetry collection by Russian poet Arseny Tarkovsky that reflects on time, memory, and the spiritual dimensions of everyday life.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc858d808190a8489aac801a4f51 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 2:02 p.m.