Triple

T19738579
Position Surface form Disambiguated ID Type / Status
Subject Dan Rydell E474052 entity
Predicate worksAtFictionalOrganization P93741 FINISHED
Object CSC 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: CSC | Statement: [Dan Rydell, worksAtFictionalOrganization, CSC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSC
Context triple: [Dan Rydell, worksAtFictionalOrganization, CSC]
  • A. CSC
    CSC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
  • B. CSC
    CSC is the abbreviation for the Council for Strategic Communications, an organization focused on planning and managing high-level communication strategies.
  • C. CSC
    CSC is Italy’s national film school and research institution, renowned for training generations of prominent filmmakers and advancing cinematic arts.
  • D. CSC
    CSC is the commonly used abbreviation for the Connecticut Science Center, a hands-on science museum and educational facility in Hartford, Connecticut.
  • E. CSC
    CSC is the commonly used abbreviation for the Command and Staff College, a military institution focused on advanced professional education and leadership training for officers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515f6efc8190a3da113847464399 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.