Triple

T19534378
Position Surface form Disambiguated ID Type / Status
Subject More Than You Think You Are E488731 entity
Predicate hasTrack P3284 FINISHED
Object All I Need — 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 I Need | Statement: [More Than You Think You Are, hasTrack, All I Need]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All I Need
Context triple: [More Than You Think You Are, hasTrack, All I Need]
  • A. All I Need
    "All I Need" is a song from Christina Aguilera's 2010 electro-pop album "Bionic."
  • B. All I Need
    "All I Need" is a standout hip-hop track by Method Man from his debut album *Tical*, best known in its remixed form featuring Mary J. Blige.
  • C. All I Need
    "All I Need" is a moody, atmospheric song by Radiohead that blends layered instrumentation and emotional vocals to explore themes of longing and dependence.
  • D. All I Need
    "All I Need" is a classic 1965 Motown soul single by Frank Wilson that became highly prized among Northern Soul enthusiasts.
  • E. All I Need chosen
    "All I Need" is a downtempo, atmospheric track by the French electronic duo Air, featured on their acclaimed 1998 album Moon Safari.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e636417ed88190b4c66a323bca776f completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.