Triple

T7243535
Position Surface form Disambiguated ID Type / Status
Subject Emanuel Swedenborg E156415 entity
Predicate influenced P9 FINISHED
Object Helen Keller E87663 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: Helen Keller | Statement: [Emanuel Swedenborg, influenced, Helen Keller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Keller
Context triple: [Emanuel Swedenborg, influenced, Helen Keller]
  • A. Helen Keller chosen
    Helen Keller was an American author, lecturer, and disability rights advocate who, despite being deaf and blind, became a global symbol of perseverance and social justice.
  • B. Annie Sullivan
    Annie Sullivan was an American teacher best known as the devoted and innovative instructor and lifelong companion of Helen Keller.
  • C. Laura Bridgman
    Laura Bridgman was a pioneering 19th-century American deafblind woman who became the first such person to receive a significant formal education and gain widespread public attention.
  • D. Mary Ellen Sullivan
    Mary Ellen Sullivan was the wife of American actor and boxer Max Baer Sr., known primarily for her role in his personal life rather than for a public career of her own.
  • E. Edward Miner Gallaudet
    Edward Miner Gallaudet was a pioneering American educator and advocate for the deaf who served as the long-time president of Gallaudet University, the first institution of higher education for deaf students.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea58533481909af7a4a6ade40eff completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3930f588190a724279dae286d5c completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:55 p.m.