Triple

T9953266
Position Surface form Disambiguated ID Type / Status
Subject One Way Ticket (Because I Can) E195382 entity
Predicate songwriter P1141 FINISHED
Object Judy Rodman E891469 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: Judy Rodman | Statement: [One Way Ticket (Because I Can), songwriter, Judy Rodman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judy Rodman
Context triple: [One Way Ticket (Because I Can), songwriter, Judy Rodman]
  • A. Judy Rodman chosen
    Judy Rodman is an American country music singer, songwriter, and vocal coach best known for her 1986 No. 1 hit "Until I Met You" and her extensive work writing songs for other artists.
  • B. Vicki Sirotta
    Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
  • C. Judy Loe
    Judy Loe is an English actress known for her work in British television and theatre and as the mother of actress Kate Beckinsale.
  • D. Judy Coughlin
    Judy Coughlin is the longtime wife of former NFL head coach Tom Coughlin, known for her quiet support of his coaching career and involvement in family and charitable activities.
  • E. Beverly Prochnow
    Beverly Prochnow is known as the spouse of German actor Jürgen Prochnow, recognized for his roles in films such as "Das Boot."
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb693918081908e9f96ef302235ad completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15435faa881909b1a124f8027deeb completed April 16, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:46 p.m.