Triple
T22528344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Nasser Salah Ad-Din |
E556963
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Hamdi Gheith
Hamdi Gheith is an actor known for his role in the Palestinian film "Al-Nasser Salah Ad-Din."
|
E1566105
|
NE FINISHED |
How this triple was built (4 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: Hamdi Gheith | Statement: [Al-Nasser Salah Ad-Din, castMember, Hamdi Gheith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamdi Gheith Context triple: [Al-Nasser Salah Ad-Din, castMember, Hamdi Gheith]
-
A.
Marwan Hamadeh
Marwan Hamadeh is a Lebanese politician and journalist known for his opposition to Syrian influence in Lebanon and his prominent role in the anti-Syrian March 14 movement.
-
B.
Hassan Hammoud
Hassan Hammoud is a Lebanese professional footballer known for playing as a midfielder in the Lebanese Premier League.
-
C.
Zahran Alloush
Zahran Alloush was a prominent Syrian Islamist rebel commander who founded and led the powerful opposition faction Jaish al-Islam during the Syrian civil war.
-
D.
Hussein Amer
Hussein Amer is an individual notable enough to be recognized as a prominent bearer of the surname Amer.
-
E.
Samir Ghanem
Samir Ghanem was a renowned Egyptian comedian and actor celebrated for his influential work in film, television, and theater across the Arab world.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hamdi Gheith Triple: [Al-Nasser Salah Ad-Din, castMember, Hamdi Gheith]
Generated description
Hamdi Gheith is an actor known for his role in the Palestinian film "Al-Nasser Salah Ad-Din."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hamdi Gheith Target entity description: Hamdi Gheith is an actor known for his role in the Palestinian film "Al-Nasser Salah Ad-Din."
-
A.
Marwan Hamadeh
Marwan Hamadeh is a Lebanese politician and journalist known for his opposition to Syrian influence in Lebanon and his prominent role in the anti-Syrian March 14 movement.
-
B.
Hassan Hammoud
Hassan Hammoud is a Lebanese professional footballer known for playing as a midfielder in the Lebanese Premier League.
-
C.
Zahran Alloush
Zahran Alloush was a prominent Syrian Islamist rebel commander who founded and led the powerful opposition faction Jaish al-Islam during the Syrian civil war.
-
D.
Hussein Amer
Hussein Amer is an individual notable enough to be recognized as a prominent bearer of the surname Amer.
-
E.
Samir Ghanem
Samir Ghanem was a renowned Egyptian comedian and actor celebrated for his influential work in film, television, and theater across the Arab world.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf28c6374819099ff8ca38085d7d3 |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bf7935b088190b0b8098ee877302f |
completed | May 19, 2026, 5:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bf7f426b88190b3b6897b116b7809 |
completed | May 19, 2026, 5:41 a.m. |
Created at: April 16, 2026, 8:51 p.m.