Triple

T14264959
Position Surface form Disambiguated ID Type / Status
Subject Bob Metcalfe E353620 entity
Predicate notableIdea P4 FINISHED
Object Metcalfe's law E1090011 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: Metcalfe's law | Statement: [Bob Metcalfe, notableIdea, Metcalfe's law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metcalfe's law
Context triple: [Bob Metcalfe, notableIdea, Metcalfe's law]
  • A. Metcalfe's law chosen
    Metcalfe's law is a principle of network theory stating that the value of a network grows proportionally to the square of the number of its connected users or nodes.
  • B. Wirth’s law
    Wirth’s law is the observation that software tends to become slower more quickly than hardware becomes faster, often negating the benefits of improved computing performance.
  • C. Koomey's law
    Koomey's law is an empirical observation that the energy efficiency of computing—measured as computations per unit of energy—has historically doubled roughly every 1.5 years.
  • D. Zipf's law
    Zipf's law is an empirical statistical principle observing that in many datasets, such as word frequencies in natural language, the frequency of an item is inversely proportional to its rank in a frequency table.
  • E. Kluge's law
    Kluge's law is a proposed sound law in Proto-Germanic historical linguistics that explains the development of certain geminate consonants from earlier consonant clusters.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d150b188190a0858ab94f81d9a8 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:09 a.m.