Triple

T18272165
Position Surface form Disambiguated ID Type / Status
Subject Shelah E437640 entity
Predicate hasSibling P363 FINISHED
Object Onan 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: Onan | Statement: [Shelah, hasSibling, Onan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onan
Context triple: [Shelah, hasSibling, Onan]
  • A. Onan chosen
    Onan is a biblical figure from the Book of Genesis, known as the second son of Judah whose refusal to fulfill his levirate duty led to his death by divine judgment.
  • B. Onanì
    Onanì is a small rural municipality in the Nuoro province of Sardinia, Italy, known for its traditional pastoral economy and mountainous landscape.
  • C. Kantoi
    "Kantoi" is a popular bilingual (Malay-English) acoustic pop song by Malaysian singer-songwriter Zee Avi that helped launch her to wider recognition.
  • D. Kannus
    Kannus is a small town and municipality in western Finland known for its rural character and location within the Central Ostrobothnia region.
  • E. Ruka
    Ruka is a major Finnish ski resort and year-round outdoor destination located in northern Finland’s Kuusamo region.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5004f0e7c8190a7206e193012a2d3 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.