Triple
T1566630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American robin |
E33446
|
entity |
| Predicate | songDescription |
P9125
|
FINISHED |
| Object | melodious caroling song |
—
|
LITERAL 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: melodious caroling song | Statement: [American robin, songDescription, melodious caroling song]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: songDescription Context triple: [American robin, songDescription, melodious caroling song]
-
A.
songFunction
Indicates the role or purpose a song serves within a larger context, such as a performance, narrative, or musical structure.
-
B.
notableSongCharacteristic
chosen
Indicates that a song is distinguished by a particular notable feature or quality, such as style, structure, or performance trait.
-
C.
effectOfSong
Indicates the influence or impact that a particular song has on something, such as a listener, mood, or situation.
-
D.
singsSong
Indicates that an entity performs the act of singing a particular song.
-
E.
lyricFocus
Indicates that the primary emphasis or subject of the lyrics is centered on a particular entity or theme.
- F. None of above.
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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90fccd4b48190a44012888a00af7f |
completed | March 5, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69a907b872f0819096b3df6ad502c63e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.