Triple

T15162575
Position Surface form Disambiguated ID Type / Status
Subject Helena Petrovna Blavatsky E362254 entity
Predicate influenced P9 FINISHED
Object Annie Besant E15882 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: Annie Besant | Statement: [Helena Petrovna Blavatsky, influenced, Annie Besant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annie Besant
Context triple: [Helena Petrovna Blavatsky, influenced, Annie Besant]
  • A. Annie Besant chosen
    Annie Besant was a prominent British socialist, theosophist, and political activist who became a leading advocate for Indian self-rule and president of the Indian National Congress.
  • B. Thelma Besant
    Thelma Besant was the wife of Vyvyan Holland, the younger son of writer Oscar Wilde.
  • C. Frank Besant
    Frank Besant was the clergyman husband of British social reformer and theosophist Annie Besant, from whom she later separated.
  • D. Tapibai Tilak
    Tapibai Tilak was the wife of Indian nationalist leader Bal Gangadhar Tilak and a member of his prominent Chitpavan Brahmin family in Maharashtra.
  • E. Norma Besant
    Norma Besant is the flirtatious Southern belle protagonist of the 1929 pre-Code drama film "Coquette," portrayed by Mary Pickford in her first talking role.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060f2efc8190aa0eb5fb8d4ce085 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febffc94e48190844e226c245a9ce3 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:08 a.m.