Triple

T6491766
Position Surface form Disambiguated ID Type / Status
Subject Mark Armstrong E148054 entity
Predicate relativeOf P367 FINISHED
Object Karen Armstrong E40241 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: Karen Armstrong | Statement: [Mark Armstrong, relativeOf, Karen Armstrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Armstrong
Context triple: [Mark Armstrong, relativeOf, Karen Armstrong]
  • A. Karen Armstrong
    Karen Armstrong is a British author and former nun renowned for her influential books on comparative religion and the history of faith.
  • B. Karen Armstrong chosen
    Karen Armstrong is the daughter of American astronaut Neil Armstrong, the first person to walk on the Moon.
  • C. Antonia Fraser
    Antonia Fraser is a British historian and biographer renowned for her popular works on European royalty and major figures of British history.
  • D. Eve Peabody
    Eve Peabody is the charming, quick-witted American showgirl at the center of the 1939 romantic comedy film "Midnight," whose misadventures in Paris drive the film’s plot.
  • E. Claire Tomalin
    Claire Tomalin is a British literary journalist and acclaimed biographer known for her works on figures such as Charles Dickens, Samuel Pepys, and Jane Austen.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9bf9208190b0957eda06ed3d65 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fdc835081909772f3a3aaee538f completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:53 p.m.