Triple

T2037676
Position Surface form Disambiguated ID Type / Status
Subject Fred Brooks E44669 entity
Predicate doctoralAdvisor P167 FINISHED
Object Howard Aiken E205843 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: Howard Aiken | Statement: [Fred Brooks, doctoralAdvisor, Howard Aiken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Aiken
Context triple: [Fred Brooks, doctoralAdvisor, Howard Aiken]
  • A. Howard Aiken chosen
    Howard Aiken was an American engineer and computing pioneer best known for designing the IBM Harvard Mark I, one of the earliest large-scale automatic digital computers.
  • B. John W. Mauchly
    John W. Mauchly was an American physicist and computer engineer best known as the co-inventor of the ENIAC, one of the earliest general-purpose electronic digital computers.
  • C. J. Presper Eckert
    J. Presper Eckert was an American electrical engineer and computer pioneer best known as the co-inventor of ENIAC, one of the earliest general-purpose electronic digital computers.
  • D. Vannevar Bush
    American electrical engineer and science administrator (1890~1974)
  • E. John Backus
    John Backus was an American computer scientist best known for leading the development of the Fortran programming language and contributing foundational work to programming language design and formal notation.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb95062c481908058d6da35337680 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ff63de081908795a95c998dd9ac completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:39 p.m.