Triple

T16424455
Position Surface form Disambiguated ID Type / Status
Subject Isaac Leib Peretz E398904 entity
Predicate notableWork P4 FINISHED
Object If Not Higher E77832 NE FINISHED

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: If Not Higher | Statement: [Isaac Leib Peretz, notableWork, If Not Higher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: If Not Higher
Context triple: [Isaac Leib Peretz, notableWork, If Not Higher]
  • A. If Not Higher chosen
    "If Not Higher" is a classic Yiddish short story by I. L. Peretz that gently satirizes religious hypocrisy while celebrating genuine piety and compassion.
  • B. When on High
    "When on High" is the traditional English rendering of the opening words and common title of the ancient Babylonian creation epic Enuma Elish.
  • C. "Higher"
    "Higher" is a Grammy-winning hip hop track by DJ Khaled featuring Nipsey Hussle and John Legend, celebrated for its inspirational themes and posthumous verse from Hussle.
  • D. Go Higher
    "Go Higher" is a popular Afro-dancehall track by Ghanaian musician Stonebwoy that showcases his uplifting lyrics and energetic style.
  • E. How High
    How High is a 2001 stoner comedy film starring Method Man and Redman as underachieving friends who use a supernatural strain of marijuana to succeed at Harvard University.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f9da9081908dadbdac4b2d38ec completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c70aaa08190bf88210c0b491fc1 completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.