Triple

T19509749
Position Surface form Disambiguated ID Type / Status
Subject Louise Erdrich E488114 entity
Predicate notableWork P4 FINISHED
Object Love Medicine NE NERFINISHED

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: Love Medicine | Statement: [Louise Erdrich, notableWork, Love Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Medicine
Context triple: [Louise Erdrich, notableWork, Love Medicine]
  • A. Love Medicine chosen
    Love Medicine is a critically acclaimed novel by Louise Erdrich that interweaves the lives of several Ojibwe families on a North Dakota reservation, often cited as a landmark work of the Native American Renaissance.
  • B. Tree of Smoke
    Tree of Smoke is a National Book Award–winning novel by Denis Johnson that explores the moral chaos and psychological fallout of the Vietnam War through interconnected characters and timelines.
  • C. Sula
    Sula is a coastal municipality in Møre og Romsdal county, Norway, known for its fishing industry, maritime heritage, and scenic island landscapes.
  • D. Sula
    Sula is a genus of large seabirds known as boobies, characterized by their strong diving ability and predominantly tropical oceanic distribution.
  • E. Sula
    Sula is a 1973 novel by American author Toni Morrison that explores Black female friendship, community, and identity in a small Ohio town.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6351547e481909a875bba40651094 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.