Triple
T20435447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modern Primitive |
E501237
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Never 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: Never Forever | Statement: [Modern Primitive, hasPart, Never Forever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Never Forever Context triple: [Modern Primitive, hasPart, Never Forever]
-
A.
Never Forever
chosen
"Never Forever" is a song featured on the release by the musical project Mutable Set.
-
B.
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.
-
C.
See Forever
See Forever is the promotional slogan used by One World Observatory to evoke its expansive, panoramic views over New York City and beyond.
-
D.
Forever Is a Thing
"Forever Is a Thing" is a song featured on the 1974 soul album "Woman to Woman" by American singer Shirley Brown.
-
E.
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.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ee758c8190b267b7ce71de8f8c |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.