Triple

T6082263
Position Surface form Disambiguated ID Type / Status
Subject Jeffrey D. Ullman E135550 entity
Predicate coauthor P2389 FINISHED
Object Hector Garcia-Molina E361642 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: Hector Garcia-Molina | Statement: [Jeffrey D. Ullman, coauthor, Hector Garcia-Molina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hector Garcia-Molina
Context triple: [Jeffrey D. Ullman, coauthor, Hector Garcia-Molina]
  • A. Hector Garcia-Molina chosen
    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.
  • 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. Jim Gray
    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.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05774bc948190a446b27e83f7079b completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d57b5f481908d7df374837a486a completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:11 p.m.