Triple
T37206083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Will Wait for You |
E922172
|
entity |
| Predicate | hasCanonicalMelody |
P4543
|
FINISHED |
| Object | theme from The Umbrellas of Cherbourg |
—
|
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: theme from The Umbrellas of Cherbourg | Statement: [I Will Wait for You, hasCanonicalMelody, theme from The Umbrellas of Cherbourg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalMelody Context triple: [I Will Wait for You, hasCanonicalMelody, theme from The Umbrellas of Cherbourg]
-
A.
hasMelody
chosen
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
B.
hasMultipleMelodies
Indicates that an entity is associated with more than one distinct melody.
-
C.
hasMelodyInstrument
Indicates that something uses or features a particular instrument to carry the main melody.
-
D.
hasSimpleMelodicProfile
Indicates that the subject’s melody is uncomplicated, using limited pitch variation and straightforward, easily recognizable melodic patterns.
-
E.
isMelodic
Indicates that something possesses a tuneful, harmonious, or musically pleasing quality.
- 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_69f76ea4849481909b4a3073efb0114c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fffbb5d0188190b6d168de8626ff68 |
completed | May 10, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69fffa3bc1208190a277961385a4789f |
completed | May 10, 2026, 3:23 a.m. |
Created at: May 3, 2026, 4:15 p.m.