Triple

T12168996
Position Surface form Disambiguated ID Type / Status
Subject Robert Bruce Ford E289904 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: [Robert Bruce 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: [Robert Bruce 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. Sticker
    Sticker is a small village in Cornwall, England, known for its rural character and proximity to the town of St Austell.
  • E. 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.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d85c088190a74fb7590877659b completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a45568819090662cd3547c9253 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.