Triple

T2723
Position Surface form Disambiguated ID Type / Status
Subject Lee de Forest E51 entity
Predicate notableWork P4 FINISHED
Object Audion vacuum tube E51 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: Audion vacuum tube | Statement: [Lee de Forest, notableWork, Audion vacuum tube]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audion vacuum tube
Context triple: [Lee de Forest, notableWork, Audion vacuum tube]
  • A. Differential analyzer
    The Differential Analyzer is an early analog mechanical computer designed to solve differential equations using interconnected rotating shafts and wheels.
  • B. Lee de Forest chosen
    Lee de Forest was an American inventor and radio pioneer best known for creating the Audion vacuum tube, a key development in early electronics and wireless communication.
  • C. Edwin H. Armstrong
    Edwin H. Armstrong was a pioneering American electrical engineer and inventor best known for developing frequency modulation (FM) radio and several fundamental radio technologies.
  • D. harmonic analyzer
    A harmonic analyzer is a mechanical or electrical device used to decompose complex periodic signals into their constituent sinusoidal components for analysis.
  • E. Veritas
    Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
  • 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_69a22e0d37588190897cf37a323013f5 completed Feb. 27, 2026, 11:51 p.m.
NER Named-entity recognition batch_69a230c560548190a57df2421e233775 completed Feb. 28, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69a238e23e0881909815d2dad067d7a1 completed Feb. 28, 2026, 12:37 a.m.
Created at: Feb. 27, 2026, 11:55 p.m.