Triple

T19647911
Position Surface form Disambiguated ID Type / Status
Subject Gifted E471728 entity
Predicate starring P1507 FINISHED
Object Jenny Slate 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: Jenny Slate | Statement: [Gifted, starring, Jenny Slate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenny Slate
Context triple: [Gifted, starring, Jenny Slate]
  • A. Jenny Slate chosen
    Jenny Slate is an American actress, comedian, and writer known for her distinctive voice work in animated films and series as well as roles in indie comedies and television.
  • B. Kristen Schaal
    Kristen Schaal is an American actress, comedian, and voice artist known for her distinctive voice and roles in series like "Flight of the Conchords," "Bob's Burgers," and "The Last Man on Earth."
  • C. Aubrey Plaza
    Aubrey Plaza is an American actress and comedian known for her deadpan style and roles in projects like "Parks and Recreation," "Ingrid Goes West," and various animated films.
  • D. Sara Haines
    Sara Haines is an American television host and journalist best known as a co-host of the daytime talk show "The View" and for her work on various ABC programs.
  • E. Molly Gordon
    Molly Gordon is an American actress and director known for her roles in films like "Booksmart" and "Good Boys" and the TV series "The Bear."
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64126cea88190a1a6929f46de4686 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.