Triple
T8889918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Zone |
E211636
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Everytime |
E764432
|
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: Everytime | Statement: [In the Zone, track, Everytime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Everytime Context triple: [In the Zone, track, Everytime]
-
A.
Everytime
chosen
"Everytime" is a melancholic pop ballad by Britney Spears, widely recognized as one of her most emotional and introspective singles.
-
B.
Every Time
"Every Time" is a song by Janet Jackson featured on her acclaimed 1997 album *The Velvet Rope*.
-
C.
Every Time
"Every Time" is a country music album by American singer Pam Tillis, released in 1998 and known for its blend of contemporary and traditional country styles.
-
D.
Any Time
"Any Time" is a popular traditional pop song closely associated with American singer Eddie Fisher, who helped make it a hit in the early 1950s.
-
E.
That Time
"That Time" is a short monologue play by Samuel Beckett, known for its fragmented narrative and demanding performance, notably interpreted by actress Billie Whitelaw.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618f94108190b03248832bfe68a9 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba1e46a48190b7a559f9d9bd348d |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:53 p.m.