Triple

T18865350
Position Surface form Disambiguated ID Type / Status
Subject Martha Stewart Bulloch E461423 entity
Predicate familyName P18 FINISHED
Object Bulloch 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: Bulloch | Statement: [Martha Stewart Bulloch, familyName, Bulloch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulloch
Context triple: [Martha Stewart Bulloch, familyName, Bulloch]
  • A. Bulloch chosen
    Bulloch is a Scottish-origin surname borne by various notable individuals, including figures in American political and military history.
  • B. Dixie Station
    Dixie Station is a bus rapid transit stop on the Mississauga Transitway in Mississauga, Ontario, serving as a key node in the city’s express bus network.
  • C. Dixie Station
    Dixie Station was a U.S. Navy carrier operating area in the South China Sea used by Task Force 77 for air operations during the Vietnam War.
  • D. Anson
    Anson is a commercial office building located in the Downtown Core of Singapore’s central business district.
  • E. Anson
    Anson is a masculine given name of English origin, historically borne by figures such as Anson Jones, the last president of the Republic of Texas.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2a5074481908941fcbb3b3eefa2 completed April 20, 2026, 6:07 a.m.
Created at: April 10, 2026, 11:57 a.m.