Triple

T12092238
Position Surface form Disambiguated ID Type / Status
Subject Garfield Park Conservatory E287972 entity
Predicate architect P184 FINISHED
Object Jens Jensen E268317 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: Jens Jensen | Statement: [Garfield Park Conservatory, architect, Jens Jensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jens Jensen
Context triple: [Garfield Park Conservatory, architect, Jens Jensen]
  • A. Jens Jensen chosen
    Jens Jensen was a prominent Danish-American landscape architect known for his naturalistic designs and influential work on parks and estates in the American Midwest.
  • B. Jon Jensen
    Jon Jensen is the central protagonist of the film "The Salvation," around whom the story’s dramatic events and conflicts revolve.
  • C. Niels Jensen
    Niels Jensen is a software entrepreneur best known as one of the founders of the software company Borland.
  • D. Jens Grede
    Jens Grede is a fashion entrepreneur and co-founder of the shapewear and apparel brand SKIMS, known for building high-profile celebrity-backed labels.
  • E. Carl Kjeldsberg
    Carl Kjeldsberg is a pathologist and academic leader best known as a co-founder of ARUP Laboratories, a major national clinical and anatomic pathology reference laboratory.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9151797988190b0d007ea806bcf02 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66d1b44819091f638d2a621ecde completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.