Triple

T19611889
Position Surface form Disambiguated ID Type / Status
Subject The Ultimate Collection E470752 entity
Predicate containsWork P2011 FINISHED
Object All at Once — 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: All at Once | Statement: [The Ultimate Collection, containsWork, All at Once]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All at Once
Context triple: [The Ultimate Collection, containsWork, All at Once]
  • A. All at Once chosen
    "All at Once" is a soulful pop ballad most famously performed by Whitney Houston, co-written by composer Michael Masser.
  • B. All at Once
    "All at Once" is a song that follows "Thinking About You" in the track sequence of an album or single release.
  • C. Everything at Once
    "Everything at Once" is a song by American country music artist Travis Tritt.
  • D. All Things All at Once
    "All Things All at Once" is a song by the indie rock supergroup Tired Pony, known for its reflective lyrics and atmospheric, melodic sound.
  • E. All Things at Once
    All Things at Once is a memoir by television journalist Mika Brzezinski that reflects on her personal and professional life, exploring themes of work-life balance, ambition, and family.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640cbeda08190addb1adf84af4993 completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.