Triple

T13392642
Position Surface form Disambiguated ID Type / Status
Subject Young at Heart E319613 entity
Predicate screenwriter P2831 FINISHED
Object Lenore Coffee E1036501 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: Lenore Coffee | Statement: [Young at Heart, screenwriter, Lenore Coffee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenore Coffee
Context triple: [Young at Heart, screenwriter, Lenore Coffee]
  • A. Lenore Coffee chosen
    Lenore Coffee was an American screenwriter and playwright known for her prolific work in Hollywood melodramas and adaptations from the silent era through the mid-20th century.
  • B. Marley Coffee
    Marley Coffee is an organic, ethically sourced coffee company inspired by the legacy and values of the Marley family and co-founded by Rohan Marley.
  • C. Joffrey’s Coffee & Tea Company
    Joffrey’s Coffee & Tea Company is a specialty coffee and tea brand best known as the official coffee provider throughout Walt Disney World and other Disney destinations.
  • D. Kicking Horse Coffee
    Kicking Horse Coffee is a Canadian coffee company known for its organic, fair-trade whole-bean coffees and bold branding.
  • E. Carousel Coffee
    Carousel Coffee is a casual coffee shop located on Disney’s BoardWalk, serving specialty beverages and light refreshments to guests in the entertainment district.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d74e5881909828854bba7d9a87 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7306fb8348190a325a07a1ac858fd completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:34 p.m.