Triple
T34804739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patience and Prudence |
E1003322
|
entity |
| Predicate | Tonight You Belong to Me_style |
P45796
|
FINISHED |
| Object | close-harmony vocal |
—
|
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: close-harmony vocal | Statement: [Patience and Prudence, Tonight You Belong to Me_style, close-harmony vocal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Tonight You Belong to Me_style Context triple: [Patience and Prudence, Tonight You Belong to Me_style, close-harmony vocal]
-
A.
Tonight You Belong to Me_label
Indicates that one entity is identified or labeled with the title "Tonight You Belong to Me."
-
B.
Tonight You Belong to Me_chartSuccess
Indicates that the song "Tonight You Belong to Me" achieved notable chart success or ranking.
-
C.
hasSongStyle
Indicates that an entity possesses, is characterized by, or is associated with a particular style or genre of song.
-
D.
hasMusicalStyleCharacteristic
chosen
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
E.
singsTo
Indicates that one entity performs singing directed toward or for another entity.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 3:59 p.m.