Triple

T8819934
Position Surface form Disambiguated ID Type / Status
Subject Jane’s Carousel E209875 entity
Predicate restoredBy P13190 FINISHED
Object Jane Walentas E758222 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: Jane Walentas | Statement: [Jane’s Carousel, restoredBy, Jane Walentas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Walentas
Context triple: [Jane’s Carousel, restoredBy, Jane Walentas]
  • A. Jane Walentas chosen
    Jane Walentas was an American artist and philanthropist best known for restoring and preserving the historic Jane’s Carousel in Brooklyn, New York.
  • B. Mary Woronov
    Mary Woronov is an American actress, writer, and artist closely associated with Andy Warhol’s Factory scene and known for her work in underground and cult films.
  • C. Janetta Waddel
    Janetta Waddel was the wife of American Presbyterian theologian Archibald Alexander and a member of a prominent religious family in early 19th-century America.
  • D. Janine Melnitz
    Janine Melnitz is the Ghostbusters’ sharp-tongued, no-nonsense receptionist who provides comic relief and grounded support to the team.
  • E. Grace Nelson
    Grace Nelson is an American political figure and philanthropist best known as the wife of former U.S. Senator and NASA Administrator Bill Nelson.
  • 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc600fbbac8190ad36d93fff60a33f completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf89357b488190997f368079ef7e1e completed April 3, 2026, 9:32 a.m.
Created at: March 30, 2026, 6:46 p.m.