Triple

T12008900
Position Surface form Disambiguated ID Type / Status
Subject Alun Armstrong E285854 entity
Predicate familyName P18 FINISHED
Object Armstrong E483 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: Armstrong | Statement: [Alun Armstrong, familyName, Armstrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armstrong
Context triple: [Alun 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. Borman
    Borman is a surname most notably associated with Frank Borman, the American astronaut who commanded the historic Apollo 8 mission orbiting the Moon.
  • C. 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.
  • D. Goddard
    Goddard is a surname most famously associated with Robert H. Goddard, the American physicist and engineer regarded as the father of modern rocketry.
  • E. Goddard
    Goddard is Jimmy Neutron’s loyal robotic dog companion from the animated franchise "The Adventures of Jimmy Neutron: Boy Genius."
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d61a4c81909e6cb6500b61df94 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b24f0c481909afd288d4f57d3b6 completed May 1, 2026, 11:14 a.m.
Created at: April 8, 2026, 9:46 p.m.