Triple

T20106260
Position Surface form Disambiguated ID Type / Status
Subject Rod Temperton E490185 entity
Predicate notableSongWritten P8087 FINISHED
Object Always and Forever 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: Always and Forever | Statement: [Rod Temperton, notableSongWritten, Always and Forever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Always and Forever
Context triple: [Rod Temperton, notableSongWritten, Always and Forever]
  • A. Always & Forever chosen
    "Always & Forever" is a song featured on the album "Flesh & Blood."
  • B. Forever & Always
    "Forever & Always" is a country-pop breakup song by Taylor Swift, featured on her album "Fearless" and known for its emotional lyrics about a sudden end to a relationship.
  • C. Now and Forever
    "Now and Forever" is a romantic ballad by Carole King, best known as one of her later signature songs featured on her live album *The Living Room Tour*.
  • D. Now and Forever
    Now and Forever is a title shared by multiple creative works, including films, novels, and songs, typically centered on enduring love or timeless commitment.
  • E. Last Forever
    "Last Forever" is the two-part series finale of the American sitcom How I Met Your Mother, known for its controversial conclusion to the long-running story.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666dbad30819082454f360f358131 completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:28 p.m.