Triple
T18049329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wind of Change |
E431885
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Main Course |
—
|
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: Main Course | Statement: [Wind of Change, album, Main Course]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Main Course Context triple: [Wind of Change, album, Main Course]
-
A.
Main Course
chosen
Main Course is a 1975 Bee Gees studio album that marked their successful shift toward a more R&B- and disco-influenced sound.
-
B.
Plat du Jour
Plat du Jour is an experimental electronic music album by Matthew Herbert that critiques industrialized food production using sounds sourced from everyday culinary and agricultural environments.
-
C.
Meal Fell
Meal Fell is a modest, grassy hill in England’s Lake District, popular with walkers for its views over the Northern Fells.
-
D.
Meat Square
Meat Square is a public square in Istanbul, Turkey, historically associated with the city’s meat markets and trade.
-
E.
Stew
Stew is an American singer-songwriter, playwright, and composer best known for creating and starring in the Tony Award-winning rock musical "Passing Strange."
- 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_69e4bff4a6e08190a5ca8d191aa7f0ae |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.