Triple

T4354801
Position Surface form Disambiguated ID Type / Status
Subject Ivy Green E98120 entity
Predicate significantPlaceFor P3858 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: [Ivy Green, significantPlaceFor, Helen Keller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Keller
Context triple: [Ivy Green, significantPlaceFor, 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. 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.
  • E. Blanche Sewell
    Blanche Sewell was an American film editor best known for her work on classic Hollywood productions, including the 1939 musical fantasy film "The Wizard of Oz."
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c3aa1c8190aacebb8e80e5f2f8 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbb662008190854da50df1147a7c completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:16 p.m.