Triple
T18353267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian & Sylvia (album) |
E439721
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Four Strong Winds (album) |
E439713
|
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: Four Strong Winds (album) | Statement: [Ian & Sylvia (album), followedBy, Four Strong Winds (album)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Four Strong Winds (album) Context triple: [Ian & Sylvia (album), followedBy, Four Strong Winds (album)]
-
A.
Four Strong Winds
chosen
"Four Strong Winds" is a classic Canadian folk song, written by Ian Tyson and popularized by the duo Ian and Sylvia, that has become a standard in the folk music canon.
-
B.
Cuatro Vientos
Cuatro Vientos is a station on Madrid’s C-5 commuter rail line, serving the Cuatro Vientos area in the southwest of the city.
-
C.
The Wind Blows
"The Wind Blows" is a celebrated poem by Georgian symbolist poet Galaktion Tabidze, known for its lyrical intensity and evocative imagery.
-
D.
To the Wind
"To the Wind" is a song by the metalcore band For the Fallen Dreams from their album "Changes."
-
E.
Warm Winds
Warm Winds is a musical group known for its smooth, melodic sound and evocative, atmospheric compositions.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d37bc08190abc9b4e8c937c914 |
completed | April 19, 2026, 5:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03f09a7b288190a2c7dd6f0ada3fea |
completed | May 13, 2026, 3:31 a.m. |
Created at: April 10, 2026, 10:37 a.m.