Triple
T32838558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد فوزي |
E839900
|
entity |
| Predicate | نشاطه_الفني_بدأ |
P20894
|
FINISHED |
| Object | أربعينيات القرن العشرين |
—
|
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: أربعينيات القرن العشرين | Statement: [محمد فوزي, نشاطه_الفني_بدأ, أربعينيات القرن العشرين]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نشاطه_الفني_بدأ Context triple: [محمد فوزي, نشاطه_الفني_بدأ, أربعينيات القرن العشرين]
-
A.
startedMusicalCareerIn
Indicates the time or place at which an individual began their professional involvement in music.
-
B.
startedMusicalActivity
chosen
Indicates that an entity began engaging in a musical activity or practice at a particular point in time.
-
C.
startedActingCareer
Indicates that an entity began their professional work or involvement in acting at a specific time or event.
-
D.
occupationBegan
Indicates the point in time when an entity started holding a particular occupation or job.
-
E.
beganAmateurCareer
Indicates that an entity started its amateur-level career or involvement in a particular field or activity.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:16 a.m.