Triple
T2010484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clouds |
E43677
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Song to a Seagull |
E44526
|
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: Song to a Seagull | Statement: [Clouds, follows, Song to a Seagull]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Song to a Seagull Context triple: [Clouds, follows, Song to a Seagull]
-
A.
Song to a Seagull
chosen
Song to a Seagull is the 1968 debut studio album by Canadian singer-songwriter Joni Mitchell, showcasing her early folk sound and poetic lyricism.
-
B.
Passarinho
Passarinho is a neighborhood in the city of Recife, Brazil.
-
C.
A Song
"A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
-
D.
The Bird in a Cage
The Bird in a Cage is a Caroline-era stage comedy by English dramatist James Shirley, known for its witty exploration of courtly love and confinement.
-
E.
Bird on the Wire
"Bird on the Wire" is a widely acclaimed song by Leonard Cohen, known for its poetic lyrics and melancholic reflection on freedom, love, and personal redemption.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8afe6f8819092679c86d1f2d041 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ae5f0748190aecee47884c61ecc |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:37 p.m.