Triple
T5320894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cigarettes and Chocolate Milk |
E121668
|
entity |
| Predicate | notableLyricStyle |
P9652
|
FINISHED |
| Object | wry |
—
|
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: wry | Statement: [Cigarettes and Chocolate Milk, notableLyricStyle, wry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableLyricStyle Context triple: [Cigarettes and Chocolate Milk, notableLyricStyle, wry]
-
A.
notableSongCharacteristic
Indicates that a song is distinguished by a particular notable feature or quality, such as style, structure, or performance trait.
-
B.
hasLyricalStyle
chosen
Indicates that one entity possesses or is characterized by a particular lyrical style in relation to another entity or context.
-
C.
notableLyricReference
Indicates that one entity contains a significant or well-known reference to the lyrics of another entity (such as a song or musical work).
-
D.
notableLyricist
Indicates that the subject is a lyricist who is particularly distinguished or well-known for their work.
-
E.
lyricalPerspective
Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84561c7081909e5937c7816e492c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 1:59 p.m.