Triple

T886633
Position Surface form Disambiguated ID Type / Status
Subject Leslie Lamport E19144 entity
Predicate name P16 FINISHED
Object Leslie Lamport E19144 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: Leslie Lamport | Statement: [Leslie Lamport, name, Leslie Lamport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leslie Lamport
Context triple: [Leslie Lamport, name, Leslie Lamport]
  • A. Leslie Lamport chosen
    Leslie Lamport is an American computer scientist renowned for his foundational work in distributed systems, concurrency, and formal methods, including the development of the Paxos consensus algorithm and the LaTeX document preparation system.
  • B. Barbara Liskov
    Barbara Liskov is an American computer scientist renowned for her pioneering work in programming languages, data abstraction, and distributed systems, and is one of the first women to receive the Turing Award.
  • C. Alan Perlis
    Alan Perlis was an American computer scientist and educator renowned for his pioneering work in programming languages and for being the first recipient of the Turing Award.
  • D. Tony Hoare
    Tony Hoare is a British computer scientist best known for developing the Quicksort algorithm and making foundational contributions to programming languages and formal methods.
  • E. Andrew S. Tanenbaum
    Andrew S. Tanenbaum is a renowned computer scientist and educator best known for creating the MINIX operating system and authoring influential textbooks on computer architecture and operating systems.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ace714ec81909b0b1deaeac66be5 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c021732c8190a3b4020f8e3cb90e completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:39 p.m.