Triple

T6362040
Position Surface form Disambiguated ID Type / Status
Subject Ceremony E143132 entity
Predicate associatedWith P37 FINISHED
Object Leslie Marmon Silko E110344 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: Leslie Marmon Silko | Statement: [Ceremony, associatedWith, Leslie Marmon Silko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leslie Marmon Silko
Context triple: [Ceremony, associatedWith, Leslie Marmon Silko]
  • A. Leslie Marmon Silko chosen
    Leslie Marmon Silko is a Native American (Laguna Pueblo) novelist, poet, and essayist whose work, including the acclaimed novel "Ceremony," is central to contemporary Indigenous literature in the United States.
  • B. Linda Hogan
    Linda Hogan is a Chickasaw poet, novelist, and environmentalist whose work powerfully explores Native American identity, history, and relationships with the natural world.
  • C. Pallas Erdrich
    Pallas Erdrich is a daughter of acclaimed Native American author Louise Erdrich.
  • D. Aza Erdrich
    Aza Erdrich is one of the daughters of acclaimed Native American author Louise Erdrich.
  • E. Louise Erdrich
    Louise Erdrich is an acclaimed American author known for her richly layered novels about Native American life, identity, and history, including works such as "Love Medicine" and "The Round House."
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680c02b481908618317566e31a5c completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6386c7f68819094595d5339deae2a completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:32 p.m.