Triple

T10888280
Position Surface form Disambiguated ID Type / Status
Subject Bob Ewell E257107 entity
Predicate settingOfLife P3562 FINISHED
Object Alabama (fictional Maycomb) E889126 NE FINISHED

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: Alabama (fictional Maycomb) | Statement: [Bob Ewell, settingOfLife, Alabama (fictional Maycomb)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alabama (fictional Maycomb)
Context triple: [Bob Ewell, settingOfLife, Alabama (fictional Maycomb)]
  • A. Maycomb County, Alabama chosen
    Maycomb County, Alabama is the fictional Depression-era Southern town that serves as the primary setting of Harper Lee’s novel "To Kill a Mockingbird."
  • 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. Carbon Hill, Alabama
    Carbon Hill is a small city in northwestern Alabama known historically as a coal-mining community within Walker County.
  • D. Kinsey, Alabama
    Kinsey, Alabama is a small town located in Houston County in the southeastern part of the state, near the city of Dothan.
  • E. Tyler, Alabama
    Tyler, Alabama is a small unincorporated rural community located in Dallas County in the central part of the state.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75202b7248190adeb5780fc5b9199 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e373f38cfc8190977d1a59c31dac5f completed April 18, 2026, 12:07 p.m.
Created at: April 8, 2026, 9:21 p.m.