Triple

T19060433
Position Surface form Disambiguated ID Type / Status
Subject Josiah Tattnall III E466515 entity
Predicate familyName P18 FINISHED
Object Tattnall 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: Tattnall | Statement: [Josiah Tattnall III, familyName, Tattnall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tattnall
Context triple: [Josiah Tattnall III, familyName, Tattnall]
  • A. Barnwell
    Barnwell is a residential and historic area of Cambridge, England, located to the east of the city centre.
  • B. Barnwell
    Barnwell is a surname of English origin borne by various notable individuals, including military figures such as Colonel John Barnwell.
  • C. Lumpkin
    Lumpkin is a surname of English origin borne by various notable individuals and families.
  • D. Tattnall County chosen
    Tattnall County is a largely rural county in southeastern Georgia known for its agricultural economy, pine forests, and small towns such as Reidsville and Glennville.
  • E. Onslow
    Onslow is a remote coastal town in Western Australia’s Pilbara region, known for its role in the local resources industry and as a gateway to nearby marine and outback attractions.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc0910088190b042095937b202a8 completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.