Triple

T6949095
Position Surface form Disambiguated ID Type / Status
Subject Doug Ford E160874 entity
Predicate employer P7 FINISHED
Object Deco Labels and Tags E289909 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: Deco Labels and Tags | Statement: [Doug Ford, employer, Deco Labels and Tags]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deco Labels and Tags
Context triple: [Doug Ford, employer, Deco Labels and Tags]
  • A. Deco Labels and Tags chosen
    Deco Labels and Tags is a Toronto-based label and packaging printing company long associated with the Ford family, including former mayor Rob Ford.
  • B. Dymo
    Dymo is a brand best known for its label makers and labeling solutions used in offices, homes, and industrial settings.
  • C. EZ TAG
    EZ TAG is an electronic toll collection system used on certain Texas toll roads that allows drivers to pay tolls automatically without stopping.
  • D. Markings
    Markings is a posthumously published collection of spiritual reflections, diary entries, and meditations by Dag Hammarskjöld, often regarded as a classic of modern Christian mysticism.
  • E. Plastic Letters
    Plastic Letters is the second studio album by American new wave band Blondie, showcasing their early punk-influenced pop sound and helping to establish their international popularity in the late 1970s.
  • 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_69c68850419081909fb426b8f5a304c7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daad028c8190a6db5b2d029d4dfc completed March 27, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75874ffcc81908f31ff03e13cb5b0 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:28 p.m.