Triple

T12562575
Position Surface form Disambiguated ID Type / Status
Subject System R E295384 entity
Predicate keyPerson P256 FINISHED
Object Jim Gray E358233 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: Jim Gray | Statement: [System R, keyPerson, Jim Gray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Gray
Context triple: [System R, keyPerson, Jim Gray]
  • A. Jim Gray chosen
    Jim Gray was a pioneering computer scientist renowned for his foundational work in database systems and transaction processing, which earned him numerous top honors in the field.
  • B. Jim Gray
    Jim Gray is an American attorney and retired California Superior Court judge known for his advocacy of drug policy reform and his role as the Libertarian Party’s 2012 vice-presidential nominee.
  • C. Jim Gray
    Jim Gray is an American sculptor best known for creating public artworks, including the famous statue of country music icon Dolly Parton in Sevierville, Tennessee.
  • D. Michael Stonebraker
    Michael Stonebraker is an influential American computer scientist and database pioneer known for creating several landmark database systems and shaping modern data management.
  • E. Hector Garcia-Molina
    Hector Garcia-Molina was a prominent computer scientist known for his influential work in database systems and distributed computing, and for his leadership in both academia and industry.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95494ae1c81908b9ee14b8ef92a65 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66861c7d8819090f09d4a131da402 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 11:48 p.m.