Triple

T14765804
Position Surface form Disambiguated ID Type / Status
Subject Bad Words E346991 entity
Predicate producer P490 FINISHED
Object Mason Novick E254607 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: Mason Novick | Statement: [Bad Words, producer, Mason Novick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mason Novick
Context triple: [Bad Words, producer, Mason Novick]
  • A. Mason Novick chosen
    Mason Novick is an American film producer and talent manager best known for producing acclaimed independent films such as "Juno," "500 Days of Summer," and "Young Adult."
  • B. Mason Morfit
    Mason Morfit is an American businessman and investor best known as the CEO of ValueAct Capital and the husband of actress Jordana Brewster.
  • C. Spencer Laudiero
    Spencer Laudiero is an American animation director and storyboard artist known for his work on television series such as "Family Guy" and "The Orville."
  • D. Ethan Maisel
    Ethan Maisel is a fictional character from the television series "The Marvelous Mrs. Maisel," appearing as the young son of comedian Miriam "Midge" Maisel.
  • E. Matthew Garber
    Matthew Garber was a British child actor best known for playing Michael Banks in Disney’s classic film "Mary Poppins" (1964).
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f576c881909da70627f5897c94 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cf4cef081909fa62125f43b36bc completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:30 a.m.