Triple

T8775309
Position Surface form Disambiguated ID Type / Status
Subject Relax E208565 entity
Predicate hasBside P15273 FINISHED
Object One September Monday E208565 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: One September Monday | Statement: [Relax, hasBside, One September Monday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One September Monday
Context triple: [Relax, hasBside, One September Monday]
  • A. One September Monday chosen
    "One September Monday" is a song that appears as the B-side to the single "Relax."
  • B. A Monday Date
    "A Monday Date" is a classic jazz composition closely associated with pioneering American jazz pianist and bandleader Earl Hines.
  • C. Come September
    Come September is a 1961 romantic comedy film starring Rock Hudson, Gina Lollobrigida, Sandra Dee, and Bobby Darin, known for its lighthearted plot and picturesque Italian setting.
  • D. What Happened to Monday
    What Happened to Monday is a dystopian science fiction thriller film in which Noomi Rapace plays seven identical sisters struggling to survive in a future world enforcing a strict one-child policy.
  • E. The First Day
    The First Day is the initial installment in a narrative series whose story is continued in its sequel, The Second Day.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f30428881909de72c08972224f0 completed March 31, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51c760b48190b2138cd2861b2c61 completed April 3, 2026, 5:36 a.m.
Created at: March 30, 2026, 6:41 p.m.