Triple

T9756823
Position Surface form Disambiguated ID Type / Status
Subject Omar Ishrak E236573 entity
Predicate name P16 FINISHED
Object Omar Ishrak E236573 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: Omar Ishrak | Statement: [Omar Ishrak, name, Omar Ishrak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omar Ishrak
Context triple: [Omar Ishrak, name, Omar Ishrak]
  • A. Omar Ishrak chosen
    Omar Ishrak is a Bangladeshi-American business executive best known for leading Medtronic as its longtime CEO and later serving as chairman of the company.
  • B. Omar Meheshi
    Omar Meheshi was a Libyan military officer and political figure who participated in the 1969 coup that brought Muammar Gaddafi to power and later became a prominent dissident against his regime.
  • C. Youssef Hamid
    Youssef Hamid is a notable individual recognized as a prominent bearer of the surname Hamid.
  • D. Omar Alfanno
    Omar Alfanno is a Panamanian songwriter and composer renowned for crafting numerous Latin music hits across salsa and pop genres.
  • E. Omar Razzaz
    Omar Razzaz is a Jordanian politician and economist who served as the country’s prime minister from 2018 to 2020, known for his focus on economic reform and anti-corruption measures.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fb2889481908fba4a449d5007fe completed April 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcdbdbcc8190b2c454729a50f7fb completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:24 p.m.