Triple

T18853402
Position Surface form Disambiguated ID Type / Status
Subject Milo Parker Jewett E461105 entity
Predicate workLocation P7 FINISHED
Object Marion, Alabama 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: Marion, Alabama | Statement: [Milo Parker Jewett, workLocation, Marion, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marion, Alabama
Context triple: [Milo Parker Jewett, workLocation, Marion, Alabama]
  • A. Marion, Alabama chosen
    Marion, Alabama is a small historic city in Perry County known for its significant role in the civil rights movement and as the home of several notable educational institutions.
  • B. Marbury, Alabama
    Marbury, Alabama is a small unincorporated rural community located in central Alabama.
  • C. Marion, Mississippi
    Marion, Mississippi is a small town in Lauderdale County known as part of the Meridian micropolitan area in eastern Mississippi.
  • D. Morris, Alabama
    Morris, Alabama is a small town in central Alabama that forms part of the Birmingham metropolitan area.
  • E. Vashti, Alabama
    Vashti, Alabama is an unincorporated rural community located in Clarke County in the southwestern part of the state.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05a8a708190b9b2b8f95b2f1d23 completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:56 a.m.