Triple

T21713133
Position Surface form Disambiguated ID Type / Status
Subject Morgan Philip E535953 entity
Predicate residence P75 FINISHED
Object Monroeville 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: Monroeville | Statement: [Morgan Philip, residence, Monroeville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monroeville
Context triple: [Morgan Philip, residence, Monroeville]
  • A. Monroeville
    Monroeville is a suburban municipality in western Pennsylvania known for its shopping centers, residential communities, and proximity to Pittsburgh.
  • B. Monroeville, Alabama
    Monroeville, Alabama is a small Southern town best known as the childhood home of authors Truman Capote and Harper Lee, whose works it heavily inspired.
  • C. Monroeville, Ohio
    Monroeville, Ohio is a small village in northern Ohio known for its rural character and historic Midwestern community.
  • D. Mayberry
    Mayberry is the fictional small, rural North Carolina town known as the idyllic hometown setting of the classic American television series "The Andy Griffith Show."
  • E. Monroeville, Indiana
    Monroeville, Indiana is a small town in northeastern Indiana known for its rural character and close-knit community.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb53573a08190ad73576d27e8094f completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:47 p.m.