Triple
T2652228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maoz Tzur |
E53925
|
entity |
| Predicate | melody |
P4543
|
FINISHED |
| Object | traditional Ashkenazi 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: traditional Ashkenazi tune | Statement: [Maoz Tzur, melody, traditional Ashkenazi tune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: melody Context triple: [Maoz Tzur, melody, traditional Ashkenazi tune]
-
A.
hasMelody
chosen
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
B.
melodyReusedBy
Indicates that a melody originally used in one work is later reused or incorporated in another work.
-
C.
melodyOrigin
Indicates the source or provenance from which a particular melody is derived or originally created.
-
D.
musicElement
Indicates a relationship where something functions as a component or structural unit within a piece of music or musical composition.
-
E.
notableSongCharacteristic
Indicates that a song is distinguished by a particular notable feature or quality, such as style, structure, or performance trait.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abda0ba2208190ad87763ecbef8c3c |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd815d06481909535c02b0aba8553 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.