Triple

T14102741
Position Surface form Disambiguated ID Type / Status
Subject 22 Jump Street E339422 entity
Predicate castMember P1668 FINISHED
Object Jillian Bell E130075 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: Jillian Bell | Statement: [22 Jump Street, castMember, Jillian Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jillian Bell
Context triple: [22 Jump Street, castMember, Jillian Bell]
  • A. Jillian Bell chosen
    Jillian Bell is an American comedian, actress, and writer known for her sharp, offbeat humor in films and TV shows such as "Workaholics," "22 Jump Street," and "Brittany Runs a Marathon."
  • B. Bridget Hedison
    Bridget Hedison is an American artist and photographer known for her contemporary mixed-media works and for being married to actress Jodie Foster.
  • C. Julia Faye
    Julia Faye was an American actress best known for her frequent collaborations with director Cecil B. DeMille during the silent and early sound film eras.
  • D. Laura Marano
    Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
  • E. Margaret Qualley
    Margaret Qualley is an American actress known for her breakout role in HBO's "The Leftovers" and acclaimed performances in projects like "Maid" and "Once Upon a Time in Hollywood."
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbbf0b08190ba1ea3657d6db005 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5b98d6881908c0efd086a973af2 completed May 8, 2026, 12:23 p.m.
Created at: April 9, 2026, 10:22 p.m.