Triple

T22419056
Position Surface form Disambiguated ID Type / Status
Subject Women Are Different E554196 entity
Predicate relatedWorkByAuthor P922 FINISHED
Object Efuru 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: Efuru | Statement: [Women Are Different, relatedWorkByAuthor, Efuru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Efuru
Context triple: [Women Are Different, relatedWorkByAuthor, Efuru]
  • A. Efuru chosen
    Efuru is a pioneering 1966 novel by Nigerian author Flora Nwapa that portrays the life, struggles, and spiritual journey of an Igbo woman in a patriarchal society.
  • B. Oshunrinde
    Oshunrinde is the surname of Canadian record producer and songwriter WondaGurl, known for her work in hip-hop and contemporary popular music.
  • C. Ayuwa
    Ayuwa is an alternative name for the Iowa (Ioway) Native American tribe historically located in the central United States.
  • D. Okuku
    Okuku is a town in Osun State, southwestern Nigeria, situated near the city of Ikirun.
  • E. Fuka-Eri
    Fuka-Eri is a mysterious, emotionally detached teenage girl with a monotone voice and a pivotal role in Haruki Murakami’s novel "1Q84."
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15948dcdc81909d0a792c4498fa70 completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.