Triple

T18859136
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Eirich E461261 entity
Predicate employer P7 FINISHED
Object Rideback NE NERFINISHED

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: Rideback | Statement: [Jonathan Eirich, employer, Rideback]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rideback
Context triple: [Jonathan Eirich, employer, Rideback]
  • A. Rideback chosen
    Rideback is a film and television production company founded by producer Dan Lin, known for backing major Hollywood franchises and high-profile studio projects.
  • B. Cavalli
    Cavalli is the stage name of Francesco Cavalli, a prominent 17th-century Italian composer known for his influential early operas in Venice.
  • C. Vacallo
    Vacallo is a small municipality in the canton of Ticino in southern Switzerland, located near the Italian border.
  • D. Cavalla
    Cavalla is a historic port city on the Aegean Sea in northern Greece, known today as Kavala and noted for its strategic location and Ottoman-era heritage.
  • E. Side Pony
    "Side Pony" is a 2016 soul-pop album by Lake Street Dive that showcases the band's retro-inspired sound, tight musicianship, and charismatic vocals.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05eaee881909da704cf1374158c completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.