Triple
T27618964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O Tannenbaum |
E700516
|
entity |
| Predicate | hasMelodyOrigin |
P1148
|
FINISHED |
| Object | 16th century folk tune |
—
|
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: 16th century folk tune | Statement: [O Tannenbaum, hasMelodyOrigin, 16th century folk tune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMelodyOrigin Context triple: [O Tannenbaum, hasMelodyOrigin, 16th century folk tune]
-
A.
melodyOrigin
chosen
Indicates the source or provenance from which a particular melody is derived or originally created.
-
B.
hasChorusMelodyOrigin
Indicates that the origin or source of a chorus melody is attributed or linked to a particular entity.
-
C.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
D.
hasTuneOrigin
Indicates that one entity’s tune or melody originates from, is derived from, or is based on another entity.
-
E.
hasRhythmOrigin
Indicates that one rhythm, style, or rhythmic pattern originates from, is derived from, or has its roots in another source.
- 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 27, 2026, 2:13 p.m.