Triple
T22527138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الخيط الرفيع |
E556936
|
entity |
| Predicate | بطولة |
P148739
|
FINISHED |
| Object | سمير صبري |
—
|
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: سمير صبري | Statement: [الخيط الرفيع, بطولة, سمير صبري]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: سمير صبري Context triple: [الخيط الرفيع, بطولة, سمير صبري]
-
A.
Samir Sabri
chosen
Samir Sabri is an actor known for his role in the film "The Sparrow."
-
B.
Tamer Hosny
Tamer Hosny is an Egyptian singer, actor, and composer widely regarded as one of the most popular contemporary Arabic pop stars.
-
C.
Tamer Hassan
Tamer Hassan is a British actor known for his tough-guy roles in crime and gangster films.
-
D.
Saad Abdel Wahab
Saad Abdel Wahab was an Egyptian composer and musician, known for his contributions to Arab music and film scores in the mid-20th century.
-
E.
Ramses Shaffy
Ramses Shaffy was a celebrated Dutch singer, chansonnier, and actor known for his emotional performances and influential role in Dutch popular music and theater in the 1960s and 1970s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.