Triple

T9426361
Position Surface form Disambiguated ID Type / Status
Subject Red E227272 entity
Predicate single P3283 FINISHED
Object Everything Has Changed E798223 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: Everything Has Changed | Statement: [Red, single, Everything Has Changed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Everything Has Changed
Context triple: [Red, single, Everything Has Changed]
  • A. Everything Has Changed chosen
    "Everything Has Changed" is a pop-country duet by Taylor Swift featuring Ed Sheeran about the excitement and transformation that come with falling in love.
  • B. Everything Changes
    "Everything Changes" is a hit pop song by British boy band Take That, released in 1994 as the title track from their second studio album.
  • C. Everything Changes
    "Everything Changes" is a 2011 studio album by British musician Julian Lennon that marked his return to recording after a long hiatus.
  • D. Everything Will Change
    Everything Will Change is a song by American singer-songwriter Gavin DeGraw, known for its uplifting pop-rock style and emotive lyrics.
  • E. Things Change
    Things Change is a 1988 American comedy-drama film directed by David Mamet about a mistaken-identity scheme involving a humble shoeshiner and the mob.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c908738819081df35c632f35f04 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1102f93488190bd1ae232c1e34830 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:49 p.m.