Triple

T976569
Position Surface form Disambiguated ID Type / Status
Subject A History of God E21066 entity
Predicate author P4 FINISHED
Object Karen Armstrong E3084 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: [A History of God, author, Karen Armstrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Armstrong
Context triple: [A History of God, author, Karen Armstrong]
  • A. Karen Armstrong chosen
    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
    Karen Armstrong is the daughter of American astronaut Neil Armstrong, the first person to walk on the Moon.
  • C. Rosemary Leith
    Rosemary Leith is a Canadian-born entrepreneur and internet governance leader who co-founded the World Wide Web Foundation and serves on various boards related to technology and public policy.
  • D. Stacy Schiff
    Stacy Schiff is a Pulitzer Prize–winning American biographer and essayist known for acclaimed works on figures such as Cleopatra, Vera Nabokov, and the Salem witch trials.
  • E. Kathleen Middlekauff
    Kathleen Middlekauff is an American academic and former spouse of investigative journalist and author Bob Woodward.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b46344048190b7a13b8f3ad9f455 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac170e8a008190a40001224f8dae2a completed March 7, 2026, 12:16 p.m.
Created at: March 1, 2026, 7:40 p.m.