Triple

T8659344
Position Surface form Disambiguated ID Type / Status
Subject John Addison E205506 entity
Predicate familyName P18 FINISHED
Object Addison E644496 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: Addison | Statement: [John Addison, familyName, Addison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Addison
Context triple: [John Addison, familyName, Addison]
  • A. Addison chosen
    Addison is a common English surname and given name, historically meaning "son of Adam" and borne by various notable figures.
  • B. Addison
    Addison is a small, business-focused town in the Dallas–Fort Worth metropolitan area known for its dense concentration of restaurants, corporate offices, and frequent special events.
  • C. Addison
    Addison is a Chicago Transit Authority 'L' station on the Blue Line serving the city's Northwest Side.
  • D. Addison
    Addison is the first name of U.S. Senator Mitch McConnell, the longtime Republican leader from Kentucky.
  • E. Addison
    Addison is the middle name of Lewis Armistead, a Confederate general best known for his role in Pickett’s Charge during the American Civil War.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc486ece68819089c74bdf98b64490 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccf559c4819089dfb8d6b11de1df completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.