Triple
T9701944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boz Scaggs |
E234796
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Lowdown |
E814399
|
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: Lowdown | Statement: [Boz Scaggs, notableSingle, Lowdown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lowdown Context triple: [Boz Scaggs, notableSingle, Lowdown]
-
A.
Lowdown
chosen
"Lowdown" is a smooth, jazz-inflected blue-eyed soul song by Boz Scaggs that became one of his biggest hits in the 1970s.
-
B.
Lowkey
"Lowkey" is a popular song featured on the album "The Album," known for its smooth, understated vibe and catchy, laid-back production.
-
C.
Down
Down is a historic county in Northern Ireland known for its coastal landscapes, the Mourne Mountains, and its role in Irish and British history.
-
D.
Down
Down is a 1994 noise rock album by The Jesus Lizard, noted for its abrasive sound, dark humor, and influential place in the American underground rock scene.
-
E.
Down
"Down" is a 2009 R&B-pop single by British singer Jay Sean featuring Lil Wayne that became an international hit and topped the US Billboard Hot 100.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d7283188190bd50e18f643ad0d3 |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f7cecd0819081929611b7881102 |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:18 p.m.