Triple

T17115556
Position Surface form Disambiguated ID Type / Status
Subject Phil Bryant E415327 entity
Predicate birthPlace P1 FINISHED
Object Moorhead, Mississippi 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: Moorhead, Mississippi | Statement: [Phil Bryant, birthPlace, Moorhead, Mississippi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moorhead, Mississippi
Context triple: [Phil Bryant, birthPlace, Moorhead, Mississippi]
  • A. Moorhead, Mississippi chosen
    Moorhead, Mississippi is a small town in the Mississippi Delta region known historically for its role in Delta blues culture and agriculture.
  • B. Morton, Mississippi
    Morton, Mississippi is a small city in central Mississippi known for its poultry industry and location along Interstate 20 between Jackson and Meridian.
  • C. Mooreville, Mississippi
    Mooreville, Mississippi is a small unincorporated community in Lee County known for its rural character and proximity to the city of Tupelo.
  • D. McCool, Mississippi
    McCool, Mississippi is a small rural town located in central Mississippi within Attala County.
  • E. Winona, Mississippi
    Winona, Mississippi is a small city in central Mississippi known as a local commercial and transportation hub along Interstate 55.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80528588190a877dcc6d6d3a392 completed April 18, 2026, 8:22 p.m.
Created at: April 10, 2026, 5:35 a.m.