Triple

T22371227
Position Surface form Disambiguated ID Type / Status
Subject Musa Jalil E553043 entity
Predicate wroteDuringImprisonment P1143 FINISHED
Object Moabit Notebooks 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: Moabit Notebooks | Statement: [Musa Jalil, wroteDuringImprisonment, Moabit Notebooks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moabit Notebooks
Context triple: [Musa Jalil, wroteDuringImprisonment, Moabit Notebooks]
  • A. Moabit Notebooks chosen
    Moabit Notebooks is a celebrated cycle of poems secretly written by Tatar Soviet poet Musa Jalil while imprisoned by the Nazis, later published posthumously and honored for its resistance and literary significance.
  • B. Zettel
    Zettel is a posthumously published collection of Ludwig Wittgenstein’s notes and remarks on philosophy, edited and arranged by Elizabeth Anscombe.
  • C. The Tablet
    The Tablet is a Catholic newspaper serving the Diocese of Brooklyn, providing news, commentary, and information for the local Catholic community.
  • D. Kobo Nia
    Kobo Nia is an entry-level Kobo e-reader designed for affordable, compact, and comfortable digital reading.
  • E. Kobo
    Kobo is a town in the Wollo region of northern Ethiopia, known as an agricultural center situated along key transport routes.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15803e7208190ba14c91fb90e15ca completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.