Triple
T18355299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia CK 85975 |
E439778
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | “Summer Days” |
—
|
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: “Summer Days” | Statement: [Columbia CK 85975, hasTrack, “Summer Days”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Summer Days” Context triple: [Columbia CK 85975, hasTrack, “Summer Days”]
-
A.
Summer Days
chosen
"Summer Days" is an energetic, rockabilly-infused song by Bob Dylan, known for its lively live performances and frequent inclusion in his concert setlists.
-
B.
Summer Days
"Summer Days" is a country song by the American duo Love and Theft, known for its upbeat, radio-friendly sound and romantic summertime theme.
-
C.
“Summertime Blues”
“Summertime Blues” is a classic 1958 rock and roll song by Eddie Cochran that became a major hit and an enduring anthem of teenage frustration.
-
D.
Sunny Days
"Sunny Days" is a song by the musical group Arm in Arm.
-
E.
Summer’s Day Song
"Summer’s Day Song" is a gentle, atmospheric track by Paul McCartney from his experimental 1980 solo album *McCartney II*.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d69ae081908a36e7c3559a0694 |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 10, 2026, 10:37 a.m.