Triple
T7830094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everything Changes |
E181343
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Everything Changes |
E602659
|
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 Changes | Statement: [Everything Changes, album, Everything Changes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Everything Changes Context triple: [Everything Changes, album, Everything Changes]
-
A.
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.
-
B.
Everything Changes
chosen
"Everything Changes" is a 2011 studio album by British musician Julian Lennon that marked his return to recording after a long hiatus.
-
C.
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.
-
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.
Love Changes
"Love Changes" is a song best known as a 1987 R&B hit by Kashif and Meli'sa Morgan, noted for its smooth production and romantic theme.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04ac013c81909533fa348776f50c |
completed | March 30, 2026, 11:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc55eedb9881908aeb6d3276b31b6c |
completed | March 31, 2026, 11:17 p.m. |
Created at: March 30, 2026, 4:44 p.m.