Triple
T25991653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Hadaba |
E646368
|
entity |
| Predicate | associatedWithConcertBrandingOf |
P70718
|
FINISHED |
| Object | Amr Diab |
—
|
NE NERFINISHED |
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: Amr Diab | Statement: [El Hadaba, associatedWithConcertBrandingOf, Amr Diab]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithConcertBrandingOf Context triple: [El Hadaba, associatedWithConcertBrandingOf, Amr Diab]
-
A.
associatedWithCityBranding
Indicates a relationship where something is connected to, involved in, or contributes to the branding or promotional identity of a city.
-
B.
associatedWithPerformer
Indicates a relationship in which something (such as a work, event, or role) is connected or linked to a specific performer.
-
C.
partOfMusicalBrand
chosen
Indicates that something belongs to, is a component of, or is officially associated with a particular musical brand.
-
D.
associatedWithBandMemberPersona
Indicates a relationship where an entity is connected to or linked with the persona or role of a band member.
-
E.
hasEventBrand
Indicates that an event is associated with or organized under a particular brand.
- 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fe6739d4dc8190ae7505c089bbac29 |
completed | May 8, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69fe6541dffc81909c66a61ba69f38fc |
completed | May 8, 2026, 10:35 p.m. |
Created at: April 22, 2026, 8:57 a.m.