Triple

T10782856
Position Surface form Disambiguated ID Type / Status
Subject Norma Besant E254371 entity
Predicate familyName P18 FINISHED
Object Besant E78779 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: Besant | Statement: [Norma Besant, familyName, Besant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Besant
Context triple: [Norma Besant, familyName, Besant]
  • A. Besant chosen
    Besant is the surname most famously associated with Annie Besant, the British socialist, women's rights activist, and theosophist who became a prominent leader in both the Theosophical Society and the Indian independence movement.
  • B. Navjivan
    Navjivan was an Indian publishing house and imprint associated with Mahatma Gandhi, known for issuing many of his writings and related works on the Indian independence movement.
  • C. Underhill
    Underhill is an English surname historically associated with various notable figures in politics, religion, and the arts.
  • D. Sollas
    Sollas is a small crofting and fishing village on the island of North Uist in Scotland’s Outer Hebrides.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732c5618081908f72838ed42ed05c completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de55fbfc70819098eb40cf0d1b9e8c completed April 14, 2026, 2:58 p.m.
Created at: April 8, 2026, 9:17 p.m.