Triple
T8891104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Why (Remix) |
E211674
|
entity |
| Predicate | originalSongTitle |
P16132
|
FINISHED |
| Object | Why |
E448369
|
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: Why | Statement: [Why (Remix), originalSongTitle, Why]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Why Context triple: [Why (Remix), originalSongTitle, Why]
-
A.
Why
chosen
"Why" is a soulful 1992 ballad by Scottish singer-songwriter Annie Lennox, known for its introspective lyrics and emotive vocal performance.
-
B.
What?
"What?" is a track by A Tribe Called Quest from their influential 1991 hip-hop album *The Low End Theory*, known for its playful, stream-of-consciousness lyrics over a jazz-infused beat.
-
C.
QUE
QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
-
D.
QUE
QUE is the station code for Queen station, a public transit stop in Toronto's subway system.
-
E.
What What
"What What" is a stand-up comedy show by South African comedian and actor Riaad Moosa, showcasing his observational humor and social commentary.
- 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_69cc619188508190aacda410f0b4c98d |
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, 6:54 p.m.