Triple

T10782536
Position Surface form Disambiguated ID Type / Status
Subject Coquette E254361 entity
Predicate hasMainCharacter P1183 FINISHED
Object Norma Besant E254371 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: Norma Besant | Statement: [Coquette, hasMainCharacter, Norma Besant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norma Besant
Context triple: [Coquette, hasMainCharacter, Norma Besant]
  • A. Norma Besant chosen
    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.
  • B. Frank Besant
    Frank Besant was the clergyman husband of British social reformer and theosophist Annie Besant, from whom she later separated.
  • C. Thelma Besant
    Thelma Besant was the wife of Vyvyan Holland, the younger son of writer Oscar Wilde.
  • D. Flora Stone Mather
    Flora Stone Mather was a prominent Cleveland philanthropist and advocate for women's education, best known for her major support of Western Reserve University (now Case Western Reserve University).
  • E. Phoebe Palmer
    Phoebe Palmer was a 19th-century American Methodist evangelist and writer whose teachings and revival work helped shape and popularize the Holiness movement.
  • 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.