Triple

T636120
Position Surface form Disambiguated ID Type / Status
Subject Edsger W. Dijkstra E16624 entity
Predicate TuringAwardFor P1618 FINISHED
Object fundamental contributions to programming languages LITERAL 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: fundamental contributions to programming languages | Statement: [Edsger W. Dijkstra, TuringAwardFor, fundamental contributions to programming languages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: TuringAwardFor
Context triple: [Edsger W. Dijkstra, TuringAwardFor, fundamental contributions to programming languages]
  • A. receivedTuringAwardWith
    Indicates that two or more entities jointly received the Turing Award in the same year or for the same recognized contribution.
  • B. hasLaureate chosen
    Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
  • C. typicalLaureateType
    Indicates the usual or most common type or category of laureate associated with something.
  • D. awardFor
    Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
  • E. roleInNobelPrize
    Indicates the specific capacity or function an entity had in relation to a particular Nobel Prize (e.g., laureate, nominee, organization, or associated role).
  • F. None of above.

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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee667f08190a0332b8f6c569e1a completed March 1, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69a49d0483908190a5ec42a7403c258e completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.