Triple
T7909663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ribisi |
E183664
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Al Ribisi
Al Ribisi is an American actor and voice artist, best known for his character roles in film and television and as the father of actor Giovanni Ribisi.
|
E704915
|
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: Al Ribisi | Statement: [Ribisi, usedBy, Al Ribisi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Ribisi Context triple: [Ribisi, usedBy, Al Ribisi]
-
A.
Nagi Hassan
Nagi Hassan is the primary antagonist and terrorist leader in the 1996 action-thriller film "Executive Decision."
-
B.
Hoceima
Hoceima is a coastal city in northern Morocco known for its Mediterranean beaches and location within the Rif Mountains.
-
C.
Rami Shakarchi
Rami Shakarchi is a mathematician and educator best known for coauthoring with Elias Stein a widely used series of graduate-level textbooks on analysis.
-
D.
Ali Torre
Ali Torre is the wife of former Major League Baseball manager and player Joe Torre, known for her involvement in charitable and philanthropic activities alongside him.
-
E.
Nassar
Nassar is a surname most prominently associated with Egyptian-American show jumping rider Nayel Nassar.
- 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: Al Ribisi Triple: [Ribisi, usedBy, Al Ribisi]
Generated description
Al Ribisi is an American actor and voice artist, best known for his character roles in film and television and as the father of actor Giovanni Ribisi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al Ribisi Target entity description: Al Ribisi is an American actor and voice artist, best known for his character roles in film and television and as the father of actor Giovanni Ribisi.
-
A.
Nagi Hassan
Nagi Hassan is the primary antagonist and terrorist leader in the 1996 action-thriller film "Executive Decision."
-
B.
Hoceima
Hoceima is a coastal city in northern Morocco known for its Mediterranean beaches and location within the Rif Mountains.
-
C.
Rami Shakarchi
Rami Shakarchi is a mathematician and educator best known for coauthoring with Elias Stein a widely used series of graduate-level textbooks on analysis.
-
D.
Ali Torre
Ali Torre is the wife of former Major League Baseball manager and player Joe Torre, known for her involvement in charitable and philanthropic activities alongside him.
-
E.
Nassar
Nassar is a surname most prominently associated with Egyptian-American show jumping rider Nayel Nassar.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5db9508190bbe92673ef5a7861 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdfe21f9081909d45565867ac7436 |
completed | March 31, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69cc46bfad4081908de1667b8a10ed0a |
completed | March 31, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc47e7167881908dce54e8b4615900 |
completed | March 31, 2026, 10:17 p.m. |
Created at: March 30, 2026, 5:04 p.m.