Triple

T8885047
Position Surface form Disambiguated ID Type / Status
Subject C-R-E-P-U-S-C-U-L-E E211506 entity
Predicate titleCharacterString P34301 FINISHED
Object C-R-E-P-U-S-C-U-L-E E211506 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: C-R-E-P-U-S-C-U-L-E | Statement: [C-R-E-P-U-S-C-U-L-E, titleCharacterString, C-R-E-P-U-S-C-U-L-E]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: C-R-E-P-U-S-C-U-L-E
Context triple: [C-R-E-P-U-S-C-U-L-E, titleCharacterString, C-R-E-P-U-S-C-U-L-E]
  • A. C-R-E-P-U-S-C-U-L-E chosen
    C-R-E-P-U-S-C-U-L-E is the original non-musical play by Rebecca Feldman that served as the basis for the Broadway musical "The 25th Annual Putnam County Spelling Bee."
  • B. CRUP
    CRUP is a Portuguese council that brings together public university rectors to coordinate and represent higher education institutions at the national level.
  • C. CRUESP
    CRUESP is a Brazilian council that brings together public universities in the state of São Paulo to coordinate policies, collaboration, and higher education initiatives.
  • D. CREST
    CREST is the UK’s central securities depository and electronic settlement system used to hold and settle trades in shares and other securities.
  • E. CRUCH
    CRUCH is a Chilean council that brings together the country’s main traditional universities to coordinate and guide national higher education policy.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc616cf8c48190a27b381e48f23377 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabd9971c81909d1437a52e906813 completed April 3, 2026, noon
Created at: March 30, 2026, 6:53 p.m.