Triple

T5693313
Position Surface form Disambiguated ID Type / Status
Subject Chris Messina E125476 entity
Predicate notableWork P4 FINISHED
Object Julie & Julia E43648 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: Julie & Julia | Statement: [Chris Messina, notableWork, Julie & Julia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie & Julia
Context triple: [Chris Messina, notableWork, Julie & Julia]
  • A. Julie & Julia chosen
    Julie & Julia is a 2009 biographical comedy-drama film that intertwines the life of chef Julia Child with a modern-day blogger who cooks her way through Child’s cookbook.
  • B. The Soup Nazi
    The Soup Nazi is a famously strict and eccentric soup vendor character from the sitcom "Seinfeld," known for his catchphrase "No soup for you!"
  • C. Mona Lisa Smile
    Mona Lisa Smile is a 2003 drama film set in the 1950s about a progressive art history professor challenging the traditional gender roles of her female students at a conservative women’s college.
  • D. Barefoot Contessa
    Barefoot Contessa is a popular Food Network cooking show hosted by Ina Garten, known for its approachable, elegant home-style recipes and entertaining tips.
  • E. Pieces of April
    Pieces of April is a 2003 indie dramedy film about a young woman hosting a tense Thanksgiving dinner for her estranged family in a cramped New York City apartment.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e7dbe48190850b501f223614e3 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a4f2bfc8190bc56c094f9ae9ce1 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.