Triple

T169355
Position Surface form Disambiguated ID Type / Status
Subject Karen Armstrong E3084 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: [Karen Armstrong, familyName, Armstrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armstrong
Context triple: [Karen 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. 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.
  • C. Bardeen
    Bardeen is a surname most notably associated with John Bardeen, the American physicist who won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
  • D. Apollo 11
    Apollo 11 was the historic 1969 spaceflight that first landed humans on the Moon and safely returned them to Earth.
  • E. Wheeler
    Wheeler is a surname most prominently associated in this context with Ted Wheeler, the American politician and mayor of Portland, Oregon.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b6f4f88190b1264bbbeb19a29e completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2eb7a519c81909922f45628f43c69 completed Feb. 28, 2026, 1:19 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.