Triple
T32838552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد فوزي |
E839900
|
entity |
| Predicate | شارك_في_أفلام |
P74071
|
FINISHED |
| Object | فيلم فاطمة وماريكا وراشيل |
—
|
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: فيلم فاطمة وماريكا وراشيل | Statement: [محمد فوزي, شارك_في_أفلام, فيلم فاطمة وماريكا وراشيل]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: شارك_في_أفلام Context triple: [محمد فوزي, شارك_في_أفلام, فيلم فاطمة وماريكا وراشيل]
-
A.
actsIn
chosen
Indicates that an entity performs or appears in a creative work, such as a film, play, or show.
-
B.
partOfFilmographyOf
Indicates that a work (such as a film, show, or role) is included in the body of screen-related works credited to a particular person.
-
C.
actúaEn
Indicates that an actor or performer takes part in or appears in a specific production, such as a film, play, or television show.
-
D.
filmAssociatedWith
Indicates a general relationship or connection between a film and another entity, such as a person, organization, event, or work.
-
E.
alsoPlayedIn
Indicates that an entity (such as a person or performer) participated or appeared in another work, production, or context in addition to the one already referenced.
- 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.