Triple
T25498582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | golden oriole |
E639045
|
entity |
| Predicate | hasSongDescription |
P162587
|
FINISHED |
| Object | fluted, whistling phrases |
—
|
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: fluted, whistling phrases | Statement: [golden oriole, hasSongDescription, fluted, whistling phrases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSongDescription Context triple: [golden oriole, hasSongDescription, fluted, whistling phrases]
-
A.
hasSong
Indicates that one entity possesses, features, or includes a particular song.
-
B.
hasLyric
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
-
C.
hasArtistDescription
Indicates that a person or entity has an associated textual description of their role or identity as an artist.
-
D.
hasSongAbout
Indicates that one entity has created, features, or is associated with a song whose subject or theme is about another entity.
-
E.
hasLyricsIn
Indicates that the lyrics of a work are written or available in a specified language.
- F. None of above. chosen
Provenance (4 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_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f62b9e5ba88190a3c0d46edec7afe7 |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f627ad6d4c81909796d39d78e414f9 |
completed | May 2, 2026, 4:34 p.m. |
Created at: April 21, 2026, 2:41 p.m.