Triple

T13184275
Position Surface form Disambiguated ID Type / Status
Subject Progressive E313806 entity
Predicate brandName P1500 FINISHED
Object Progressive E313806 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: Progressive | Statement: [Progressive, brandName, Progressive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Progressive
Context triple: [Progressive, brandName, Progressive]
  • A. Progressive chosen
    Progressive is a major American insurance company best known for its auto insurance offerings and innovative marketing campaigns.
  • B. Liberal
    Liberal is a small city in Barton County, Missouri, known historically for its origins as a 19th-century freethought and secularist community.
  • C. Democratic Left
    Democratic Left was an Irish political party that emerged in the 1990s as a democratic socialist and social-democratic force, later merging with the Labour Party.
  • D. Democratic Left
    Democratic Left was a British left-wing political organization that emerged from the dissolution of the Communist Party of Great Britain and sought to promote democratic socialist and green politics.
  • E. Plural Left
    Plural Left was a broad left-wing coalition in France that united socialists, communists, greens, and other progressive forces around Lionel Jospin in the late 1990s and early 2000s.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4a0b0081908027bf77442ff5ff completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5f307408190afd0df16a417c456 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:15 p.m.