Triple
T18422309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Guess Who |
E442048
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | This Time Long Ago |
—
|
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: This Time Long Ago | Statement: [The Guess Who, notableSingle, This Time Long Ago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: This Time Long Ago Context triple: [The Guess Who, notableSingle, This Time Long Ago]
-
A.
This Time Long Ago
chosen
"This Time Long Ago" is a song by Canadian rock band The Guess Who, known as one of their early recordings before their major international success.
-
B.
Long Time Ago
"Long Time Ago" is a song by the Australian rock band Red Earth.
-
C.
...Long Time Ago
"...Long Time Ago" is a song featured on the album "Walking in London" by the American rock band Concrete Blonde.
-
D.
Long Ago
"Long Ago" is a musical number from the stage adaptation of the British musical "Half a Sixpence," contributing to its nostalgic and romantic atmosphere.
-
E.
Long Ago
"Long Ago" is a track from the album "Daydream," likely contributing to its overall dreamy, reflective pop sound.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2c98b0819082672174bf69b88c |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.