Triple

T18000928
Position Surface form Disambiguated ID Type / Status
Subject Brand New Day E430622 entity
Predicate hasPart P35 FINISHED
Object Tomorrow We’ll See NE NERFINISHED

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: Tomorrow We’ll See | Statement: [Brand New Day, hasPart, Tomorrow We’ll See]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomorrow We’ll See
Context triple: [Brand New Day, hasPart, Tomorrow We’ll See]
  • A. Tomorrow We'll See chosen
    "Tomorrow We'll See" is a reflective pop ballad by Sting featured on his 1999 album *Brand New Day*.
  • B. Tomorrow Comes
    "Tomorrow Comes" is a song featured on Suzanne Vega's 1991 album "Picture Perfect Morning."
  • C. We Shall See
    "We Shall See" is the English title of the iconic Urdu poem "Hum Dekhenge" by Faiz Ahmed Faiz, celebrated as a powerful anthem of resistance and hope.
  • D. Here Comes Tomorrow
    Here Comes Tomorrow is a pioneering science-fiction radio drama series written by Richard Durham that explored futuristic and socially conscious themes during the mid-20th century.
  • E. Til Tomorrow
    "Til Tomorrow" is an R&B song best known as a track from Marvin Gaye’s early-1990s era, showcasing his smooth vocals and romantic, late-night mood.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b3e82ca48190aeb53e03c95ef223 completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.