Triple

T9970141
Position Surface form Disambiguated ID Type / Status
Subject Venom E196181 entity
Predicate castMember P1668 FINISHED
Object Jenny Slate E199361 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: Jenny Slate | Statement: [Venom, castMember, Jenny Slate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenny Slate
Context triple: [Venom, castMember, 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 (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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b7ea9881908a56f11e2e446dd0 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dca14d081909573e91a576921c9 completed April 5, 2026, 10:47 a.m.
Created at: March 30, 2026, 8:48 p.m.