Triple

T10027050
Position Surface form Disambiguated ID Type / Status
Subject Learning E200756 entity
Predicate hasTrack P3284 FINISHED
Object No Problem E783552 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: No Problem | Statement: [Learning, hasTrack, No Problem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: No Problem
Context triple: [Learning, hasTrack, No Problem]
  • A. No Problem chosen
    "No Problem" is a popular hip-hop single by Tauheed Epps, better known as 2 Chainz, that helped solidify his mainstream success.
  • B. No Problem
    "No Problem" is one of the short, conversational vignettes in Jim Jarmusch’s film "Coffee and Cigarettes," featuring characters engaged in quirky, deadpan dialogue over coffee and cigarettes.
  • C. Nobody's Problems
    "Nobody's Problems" is a musical number from Disney's 1971 live-action/animated film *Bedknobs and Broomsticks*, featuring the film’s characteristic whimsical, period-set charm.
  • D. No More Trouble
    "No More Trouble" is a reggae song by Bob Marley & The Wailers, featured on their politically charged 1973 album *Catch a Fire*.
  • E. No Worries
    No Worries is an Australian film associated with producer and director David Elfick, known for its portrayal of rural life and family resilience.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcde3c1b88190924e6158f406b453 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26ac9cdfc8190b91746855bf3de12 completed April 5, 2026, 1:59 p.m.
Created at: March 30, 2026, 8:54 p.m.