Triple
T14473800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ishy Bilady |
E358913
|
entity |
| Predicate | musicComposerNationality |
P12042
|
FINISHED |
| Object | Egyptian |
—
|
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: Egyptian | Statement: [Ishy Bilady, musicComposerNationality, Egyptian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicComposerNationality Context triple: [Ishy Bilady, musicComposerNationality, Egyptian]
-
A.
musicComposedIn
Indicates that a piece of music was created or composed in a specific place or location.
-
B.
associatedComposerNationality
chosen
Indicates that there is a relationship between a composer and a specific nationality with which that composer is identified or associated.
-
C.
musicComposer
Indicates that one entity is the creator or writer of a piece of music associated with another entity.
-
D.
stateSongComposer
Indicates that a person is the composer of the official song of a particular state.
-
E.
hasMusicalComposer
Indicates that one entity serves as the musical composer responsible for creating the music associated with 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91fab21c819090b6e209d8efba6e |
completed | April 14, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.