Triple

T14454806
Position Surface form Disambiguated ID Type / Status
Subject Lois Maureen Stapleton E358429 entity
Predicate nameComponent P5298 FINISHED
Object Stapleton E358430 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: Stapleton | Statement: [Lois Maureen Stapleton, nameComponent, Stapleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stapleton
Context triple: [Lois Maureen Stapleton, nameComponent, Stapleton]
  • A. Stapleton
    Stapleton is a residential suburb and historic area in the northeastern part of Bristol, England.
  • B. Stapleton
    Stapleton is a historic waterfront neighborhood on Staten Island in New York City, known for its residential streets, local commerce, and access to the Staten Island Railway.
  • C. Stapleton chosen
    Stapleton is a surname most notably associated with American actress Maureen Stapleton, renowned for her work on stage and screen.
  • D. Northgate
    Northgate is a residential suburb in the inner north-eastern area of Adelaide, South Australia.
  • E. Northgate
    Northgate is a neighborhood in north Seattle, Washington, known as a major commercial and transit hub that includes one of the city’s first shopping malls and a key light rail terminus.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a8bf088190abf5fd4f646b8c62 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d86dbc0819085fef8fa8b45b373 completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:19 a.m.