Triple

T35370
Position Surface form Disambiguated ID Type / Status
Subject Judaism E699 entity
Predicate hasConcept P531 FINISHED
Object yetzer hara E1243 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: yetzer hara | Statement: [Judaism, hasConcept, yetzer hara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: yetzer hara
Context triple: [Judaism, hasConcept, yetzer hara]
  • A. SHASS
    SHASS is the abbreviated name commonly used for the School of Humanities, Arts, and Social Sciences at academic institutions.
  • B. HUP
    HUP is a major academic medical center in Philadelphia that serves as the flagship teaching hospital of the University of Pennsylvania's health system.
  • C. Original sin chosen
    Original sin is the Christian doctrine that humanity inherits a fallen, sinful condition from the first humans’ disobedience to God, necessitating divine grace for salvation.
  • D. Green Monster
    The Green Monster is the iconic, unusually tall left-field wall at Fenway Park, famous for dramatically influencing gameplay and home run hitting in Boston Red Sox baseball games.
  • E. ATE
    ATE is a U.S. National Science Foundation program that supports the education and training of technicians for advanced technology fields through partnerships between two-year colleges, industry, and other educational institutions.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24886d3208190bec30070a361666d completed Feb. 28, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e607c5c8190b10af5106685b3c6 completed Feb. 28, 2026, 2:09 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.