Triple

T11522479
Position Surface form Disambiguated ID Type / Status
Subject Nancy Rutchik Red Maple Rill E273199 entity
Predicate namedAfter P63 FINISHED
Object Nancy Rutchik E273199 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: Nancy Rutchik | Statement: [Nancy Rutchik Red Maple Rill, namedAfter, Nancy Rutchik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy Rutchik
Context triple: [Nancy Rutchik Red Maple Rill, namedAfter, Nancy Rutchik]
  • A. Nancy Rutchik chosen
    Nancy Rutchik is an individual honored as the namesake of the Nancy Rutchik Red Maple Rill, a notable garden feature.
  • B. Bonnie Retzkin
    Bonnie Retzkin is a figure skating coach best known for having coached American Olympic and World medalist Emily Hughes.
  • C. Julie Roginsky
    Julie Roginsky is a Democratic political consultant and television commentator who gained national attention for accusing Fox News chairman Roger Ailes of sexual harassment.
  • D. Nancy Kurshan
    Nancy Kurshan is an American activist and writer best known as a co-founder of the Youth International Party (Yippies) and for her work in prison abolition and social justice movements.
  • E. Marla Sokoloff
    Marla Sokoloff is an American actress known for her roles in films and television series such as "Dude, Where's My Car?" and "The Practice."
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd129c88190893b95222480e04a completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6554ec69c8190ba9ffbaf220c44f4 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:37 p.m.