Triple

T3499279
Position Surface form Disambiguated ID Type / Status
Subject ACM SIGMOD Jim Gray Dissertation Award E73925 entity
Predicate namedAfter P63 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: [ACM SIGMOD Jim Gray Dissertation Award, namedAfter, Jim Gray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Gray
Context triple: [ACM SIGMOD Jim Gray Dissertation Award, namedAfter, 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. 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.
  • C. 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.
  • D. Raghu Ramakrishnan
    Raghu Ramakrishnan is a prominent computer scientist known for his influential work in database systems and data mining, including contributions to query optimization and scalable data analysis.
  • E. Abraham Silberschatz
    Abraham Silberschatz is a prominent computer scientist known for his influential textbooks on database systems and operating systems, widely used in computer science education.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd3ad548190abbfae820bf3b66d completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e67f68081909766d78ee24e9e6e completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:18 p.m.