Triple

T18251434
Position Surface form Disambiguated ID Type / Status
Subject Jane the Virgin E437099 entity
Predicate executiveProducer P7225 FINISHED
Object Jennie Snyder Urman 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: Jennie Snyder Urman | Statement: [Jane the Virgin, executiveProducer, Jennie Snyder Urman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennie Snyder Urman
Context triple: [Jane the Virgin, executiveProducer, Jennie Snyder Urman]
  • A. Jennie Snyder Urman chosen
    Jennie Snyder Urman is an American television writer and producer best known as the creator and showrunner of the critically acclaimed series "Jane the Virgin."
  • B. Rachel Van Dyken
    Rachel Van Dyken is a contemporary American author best known for her popular romance novels and New York Times bestselling series.
  • C. Jenna Ushkowitz
    Jenna Ushkowitz is an American actress and singer best known for playing Tina Cohen-Chang on the television series "Glee."
  • D. Jenna Dewan
    Jenna Dewan is an American actress and dancer best known for her breakout role in the film "Step Up" and her work in television series such as "Witches of East End."
  • E. Joy Gorman Wettels
    Joy Gorman Wettels is a television and film producer best known for her work on the Netflix drama series "Thirteen Reasons Why."
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd8124648190ae7fc9f1fc5cf9bd completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:33 a.m.