Triple

T2125602
Position Surface form Disambiguated ID Type / Status
Subject Arthur Rock E46416 entity
Predicate hasInvestedIn P17330 FINISHED
Object Teledyne E236227 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: Teledyne | Statement: [Arthur Rock, hasInvestedIn, Teledyne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teledyne
Context triple: [Arthur Rock, hasInvestedIn, Teledyne]
  • A. Teledyne chosen
    Teledyne is an American industrial conglomerate known for its diversified operations in electronics, instrumentation, aerospace, and digital imaging technologies.
  • B. FLIR Systems
    FLIR Systems is a leading American company specializing in the design and manufacture of thermal imaging cameras, sensors, and infrared imaging technologies used in defense, industrial, and commercial applications.
  • C. Agilent Technologies
    Agilent Technologies is a global company specializing in life sciences, diagnostics, and analytical laboratory instruments and services.
  • D. Kavlico Corporation
    Kavlico Corporation is a technology company known for designing and manufacturing pressure, position, and force sensors for aerospace, industrial, and automotive applications.
  • E. United Scientific Instruments
    United Scientific Instruments is a British optics company best known for producing military-grade optical sights and related precision instruments.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbdc3a12081908e95ae870207367f completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58cf2a588190a59dc1ae5d684538 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.