Triple

T7666139
Position Surface form Disambiguated ID Type / Status
Subject Dragon Book E173627 entity
Predicate hasAuthor P4244 FINISHED
Object Ravi Sethi E177705 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: Ravi Sethi | Statement: [Dragon Book, hasAuthor, Ravi Sethi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ravi Sethi
Context triple: [Dragon Book, hasAuthor, Ravi Sethi]
  • A. Ravi Sethi chosen
    Ravi Sethi is a computer scientist best known as a co-author of the influential textbook "Compilers: Principles, Techniques, and Tools" (the "Dragon Book") on compiler design.
  • B. Rajeev Misra
    Rajeev Misra is an Indian-born financier and executive best known for leading SoftBank’s Vision Fund, one of the world’s largest technology investment funds.
  • C. Vijay Vasudevan
    Vijay Vasudevan is a computer scientist known for his work in machine learning and systems research, including co-authoring influential papers with Christian Szegedy.
  • D. Ravi Menon
    Ravi Menon is a Singaporean economist and central banker who has served as the long-time managing director of the Monetary Authority of Singapore, playing a key role in shaping the country’s financial and monetary policy.
  • E. Raj Subramaniam
    Raj Subramaniam is the President and Chief Executive Officer of FedEx Corporation, a leading global logistics and delivery services company.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c1383c8190ab5bf803bd6211a9 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a2206664819085c6825e63eadd6f completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4 p.m.