Triple
T18048155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Lorber |
E431847
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object | Galaxy |
—
|
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: Galaxy | Statement: [Jeff Lorber, notableAlbum, Galaxy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galaxy Context triple: [Jeff Lorber, notableAlbum, Galaxy]
-
A.
Galaxy
Galaxy is Samsung’s flagship line of Android smartphones and tablets known for its high-end hardware, advanced displays, and wide range of models from budget to premium.
-
B.
Galaxy
Galaxy is a professional soccer club based in the Los Angeles area that competes in Major League Soccer and is known for signing high-profile international stars.
-
C.
Galaxy
Galaxy is a British rock band best known for contributing music to the soundtrack of the 1979 film and album "The Kids Are Alright" featuring The Who.
-
D.
Galaxy
chosen
"Galaxy" is a pop-R&B song by Australian singer Jessica Mauboy, known for its catchy melody and contemporary production.
-
E.
Galaxy
Galaxy is a professional American football team based in Frankfurt, Germany, known for competing in European football leagues.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff39394819080407e1614bd5da9 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.