Triple
T22528343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Nasser Salah Ad-Din |
E556963
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Omar El-Hariri |
—
|
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: Omar El-Hariri | Statement: [Al-Nasser Salah Ad-Din, castMember, Omar El-Hariri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omar El-Hariri Context triple: [Al-Nasser Salah Ad-Din, castMember, Omar El-Hariri]
-
A.
Omar El-Hariri
chosen
Omar El-Hariri was an Egyptian actor known for his work in film, television, and theater, particularly during the mid to late 20th century.
-
B.
Hussein Hammoud
Hussein Hammoud is an individual notable enough to be recognized as a prominent bearer of the surname Hammoud.
-
C.
Hassan Hammoud
Hassan Hammoud is a Lebanese professional footballer known for playing as a midfielder in the Lebanese Premier League.
-
D.
Mohammad Hammoud
Mohammad Hammoud is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Hammoud surname.
-
E.
Samir Hammoud
Samir Hammoud is a person notable enough to be specifically identified as a bearer of the surname Hammoud.
- 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_69f15ed4d4608190ba93bb54f15334a5 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.