Triple
T5918365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | فاتن حمامة |
E131636
|
entity |
| Predicate | التأثير |
P67693
|
FINISHED |
| Object | تُعد من أبرز نجمات السينما العربية في 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: تُعد من أبرز نجمات السينما العربية في القرن العشرين | Statement: [فاتن حمامة, التأثير, تُعد من أبرز نجمات السينما العربية في القرن العشرين]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: التأثير Context triple: [فاتن حمامة, التأثير, تُعد من أبرز نجمات السينما العربية في القرن العشرين]
-
A.
מאפיין עונתי
Indicates that something exhibits a seasonal characteristic, pattern, or variation over time.
-
B.
Inside Out Project
Indicates a relationship where an initiative or action turns internal perspectives, stories, or issues outward into public, visible expression or engagement.
-
C.
מאפיין לוח
Indicates a relationship where something serves as a characteristic, property, or defining feature of a board.
-
D.
eve
Indicates a relationship where one entity is the evening or night-time counterpart, phase, or occurrence associated with another entity.
-
E.
Typer
Indicates that one entity serves as the type or classification for another entity.
- F. None of above. chosen
Provenance (4 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c048fc112c8190b905bf561c9de096 |
completed | March 22, 2026, 7:54 p.m. |
| PD | Predicate disambiguation | batch_69c03352208c8190968efed05a9fd416 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c048fb02a081908e78629e1e283cd0 |
completed | March 22, 2026, 7:54 p.m. |
Created at: March 22, 2026, 3:59 p.m.