Triple

T19312408
Position Surface form Disambiguated ID Type / Status
Subject Haim Be’er E483003 entity
Predicate employer P7 FINISHED
Object Keter Publishing House 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: Keter Publishing House | Statement: [Haim Be’er, employer, Keter Publishing House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keter Publishing House
Context triple: [Haim Be’er, employer, Keter Publishing House]
  • A. Keter Publishing House chosen
    Keter Publishing House is an Israeli publishing company renowned for producing major Jewish reference works and Hebrew literature.
  • B. Priboi Publishers
    Priboi Publishers was a Soviet-era publishing house known for issuing political and ideological works, including key texts by Vladimir Lenin.
  • C. North Point Press
    North Point Press is an American literary publishing imprint known for its high-quality editions of fiction, poetry, and nonfiction.
  • D. Kenda Publishers
    Kenda Publishers is a publishing house known for producing literary and cultural works in India, including notable Kannada-language titles.
  • E. Pinnacle Books
    Pinnacle Books was an American paperback publisher known for releasing genre fiction, including science fiction titles such as issues or collections associated with Galaxy Science Fiction.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604ce5de081909811c49f56ba94bb completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:32 p.m.