Triple

T20453007
Position Surface form Disambiguated ID Type / Status
Subject Do Revenge E501702 entity
Predicate producer P490 FINISHED
Object Jennifer Kaytin Robinson 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: Jennifer Kaytin Robinson | Statement: [Do Revenge, producer, Jennifer Kaytin Robinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Kaytin Robinson
Context triple: [Do Revenge, producer, Jennifer Kaytin Robinson]
  • A. Jennifer Kaytin Robinson chosen
    Jennifer Kaytin Robinson is an American screenwriter and director known for her work in film and television, including co-writing the Marvel Studios film "Thor: Love and Thunder."
  • B. Lisa Gottsegen
    Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
  • C. Jennifer Robinson
    Jennifer Robinson is a prominent human-rights lawyer known for her work on high-profile freedom of speech and civil liberties cases.
  • D. Kristin Rusk Robinson
    Kristin Rusk Robinson is a screenwriter best known for her work on the animated musical television special and film project "Entergalactic."
  • E. Rebecca Coffman
    Rebecca Coffman is an American education leader who serves as the superintendent of the Zionsville Community Schools district in Indiana.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68d039af08190827bf765b50515a8 completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.