Triple

T21068507
Position Surface form Disambiguated ID Type / Status
Subject Muskoka E519038 entity
Predicate containsRiver P165 FINISHED
Object Moon River 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: Moon River | Statement: [Muskoka, containsRiver, Moon River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moon River
Context triple: [Muskoka, containsRiver, Moon River]
  • A. Moon River
    Moon River is a tidal river in coastal Georgia, United States, known for its scenic marshland views and association with the song of the same name.
  • B. Moon River
    "Moon River" is a classic, wistful ballad composed by Henry Mancini with lyrics by Johnny Mercer, famously performed by Audrey Hepburn in the film "Breakfast at Tiffany's."
  • C. Moon River chosen
    Moon River is a scenic river in Ontario, Canada, known for flowing westward from the Muskoka region toward Georgian Bay and offering popular cottage, boating, and fishing areas.
  • D. Mama River
    The Mama River is a significant tributary in eastern Siberia that flows through remote regions of Russia before joining the Vitim River.
  • E. September Song
    "September Song" is a popular 1938 American standard composed by Kurt Weill with lyrics by Maxwell Anderson, known for its melancholic reflection on aging and the passage of time.
  • 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_69e0b505ef108190b25dd4033e2ff7eb completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6feb6d3a081909d6a6b181786deff completed April 21, 2026, 4:36 a.m.
Created at: April 16, 2026, 2:45 p.m.