Triple

T21282579
Position Surface form Disambiguated ID Type / Status
Subject Marjorie Armstrong E524563 entity
Predicate familyName P18 FINISHED
Object Armstrong 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: Armstrong | Statement: [Marjorie Armstrong, familyName, Armstrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armstrong
Context triple: [Marjorie Armstrong, familyName, Armstrong]
  • A. Armstrong chosen
    Armstrong is a common English-language surname borne by numerous notable figures across fields such as science, exploration, music, and sports.
  • B. Armstrong
    Armstrong is a small city in the North Okanagan region of British Columbia, Canada, known for its agricultural surroundings and rural community character.
  • C. Armstrong and Miller
    Armstrong and Miller is a British comedy duo best known for their sketch television series featuring Alexander Armstrong and Ben Miller.
  • D. Borman
    Borman is a surname most notably associated with Frank Borman, the American astronaut who commanded the historic Apollo 8 mission orbiting the Moon.
  • E. Neil A. Armstrong
    Neil A. Armstrong was an American astronaut, naval aviator, and aerospace engineer best known as the first person to walk on the Moon during NASA’s Apollo 11 mission.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d3dfbc819081bd876d95c7c480 completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.