Triple

T22190156
Position Surface form Disambiguated ID Type / Status
Subject Michael Mosley E548398 entity
Predicate notableWork P4 FINISHED
Object Ozark 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: Ozark | Statement: [Michael Mosley, notableWork, Ozark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ozark
Context triple: [Michael Mosley, notableWork, Ozark]
  • A. Ozark chosen
    Ozark is a dark crime drama television series that follows a financial planner who relocates his family to the Missouri Ozarks to launder money for a Mexican drug cartel.
  • B. Ozarka
    Ozarka is a regional bottled water brand in the United States known for its spring water sourced primarily from Texas.
  • C. Osage River
    The Osage River is a major river in central Missouri known for its role in regional hydroelectric power generation and recreation, including the creation of the Lake of the Ozarks.
  • D. Missouri Bootheel
    The Missouri Bootheel is the southeasternmost region of Missouri, known for its distinctive boot-shaped protrusion into Arkansas and its rich agricultural landscape in the Mississippi Alluvial Plain.
  • E. Meramec River valley
    The Meramec River valley is a scenic river corridor in Missouri known for its dramatic limestone bluffs, caves, and forested landscapes that support popular outdoor recreation.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aac07d88190848c940863c0a0c7 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.