Triple

T20779906
Position Surface form Disambiguated ID Type / Status
Subject COO E511450 entity
Predicate collaboratesWith P37 FINISHED
Object CTO 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: CTO | Statement: [COO, collaboratesWith, CTO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CTO
Context triple: [COO, collaboratesWith, CTO]
  • A. CTO
    The Caribbean Tourism Organization is an intergovernmental body that promotes and develops sustainable tourism across Caribbean member states.
  • B. CTO chosen
    A CTO (Chief Technology Officer) is a senior executive responsible for overseeing an organization's technological strategy, product engineering, and innovation.
  • C. CIO
    The CIO is the French abbreviation for the International Olympic Committee, the global governing body responsible for overseeing the Olympic Movement and organizing the Olympic Games.
  • D. CIO
    CIO is the abbreviation for the Congress of Industrial Organizations, a major U.S. labor federation that played a key role in organizing industrial workers in the mid-20th century.
  • E. CIO
    CIO is a technology-focused business magazine and online publication that provides news, analysis, and strategic insights for chief information officers and IT leaders.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c26f99b88190a84a6889834e1e96 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.