Triple

T10260827
Position Surface form Disambiguated ID Type / Status
Subject Ben Johnson E240588 entity
Predicate notableWork P4 FINISHED
Object She Wore a Yellow Ribbon E97497 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: She Wore a Yellow Ribbon | Statement: [Ben Johnson, notableWork, She Wore a Yellow Ribbon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: She Wore a Yellow Ribbon
Context triple: [Ben Johnson, notableWork, She Wore a Yellow Ribbon]
  • A. She Wore a Yellow Ribbon chosen
    She Wore a Yellow Ribbon is a 1949 Technicolor Western film starring John Wayne, celebrated as one of director John Ford’s classic cavalry pictures.
  • B. Last Chance Range
    Last Chance Range is a remote mountain range in eastern California’s Mojave Desert, forming part of the rugged terrain near Death Valley and Saline Valley.
  • C. The Yellow Rose
    The Yellow Rose is an American television drama series from the early 1980s centered on a Texas ranching family.
  • D. Rambling Rose
    Rambling Rose is a 1991 American drama film, set in the 1930s South, for which Laura Dern received critical acclaim and an Academy Award nomination for her lead performance.
  • E. Mama River
    The Mama River is a significant tributary in eastern Siberia that flows through remote regions of Russia before joining the Vitim River.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d25bc7f88190b7e83243894d1aeb completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7f1500c819089d569dbfce705b8 completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:32 a.m.