Triple

T16130587
Position Surface form Disambiguated ID Type / Status
Subject Mary Haas E391384 entity
Predicate influencedBy P9 FINISHED
Object Edward Sapir E12573 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: Edward Sapir | Statement: [Mary Haas, influencedBy, Edward Sapir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Sapir
Context triple: [Mary Haas, influencedBy, Edward Sapir]
  • A. Edward Sapir chosen
    Edward Sapir was a pioneering American anthropologist-linguist whose work on language, culture, and cognition helped lay the foundations of modern linguistics and linguistic anthropology.
  • B. J. David Sapir
    J. David Sapir is an American anthropologist and linguist known for his work on West African languages and cultures and for being the son of renowned linguist Edward Sapir.
  • C. Leonard Bloomfield
    Leonard Bloomfield was an influential American linguist whose work in the early 20th century helped establish structural linguistics as a rigorous, scientific discipline.
  • D. Jean Sapir
    Jean Sapir is a member of the Sapir family, known primarily as the sibling of anthropologist and linguist J. David Sapir.
  • E. Sapir
    Sapir is a Hebrew surname most notably associated with Pinhas Sapir, a prominent Israeli politician and economic architect of the young state.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020829e88190b51ab32d22cf0259 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2aff07c8190bf693f652e2a2808 completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.