Triple

T8748583
Position Surface form Disambiguated ID Type / Status
Subject James Iredell Jr. E207895 entity
Predicate familyName P18 FINISHED
Object Iredell E207893 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: Iredell | Statement: [James Iredell Jr., familyName, Iredell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iredell
Context triple: [James Iredell Jr., familyName, Iredell]
  • A. Iredell chosen
    Iredell is a surname most notably associated with James Iredell Sr., an influential early American jurist and U.S. Supreme Court Justice.
  • B. Troutman
    Troutman is a small town in Iredell County, North Carolina, known for its residential communities and proximity to the city of Statesville.
  • C. Waccamaw
    The Waccamaw are a Native American people historically associated with the coastal regions of present-day North and South Carolina in the Southeastern United States.
  • D. Lenoir
    Lenoir is a French-origin surname borne by various notable individuals in fields such as politics, science, and the arts.
  • E. Titisee
    Titisee is a scenic glacial lake and popular tourist destination in Germany’s Black Forest region, known for its clear waters, surrounding forests, and outdoor recreation.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da4214881908b6917f847c43cb5 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfa02a610c8190b3a63f52c7bda7b2 completed April 3, 2026, 11:10 a.m.
Created at: March 30, 2026, 6:39 p.m.