Triple
T6126632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnage |
E136610
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Saïd Ben Saïd
Saïd Ben Saïd is a Tunisian-French film producer known for collaborating with prominent directors on acclaimed international films.
|
E571371
|
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: Saïd Ben Saïd | Statement: [Carnage, producer, Saïd Ben Saïd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saïd Ben Saïd Context triple: [Carnage, producer, Saïd Ben Saïd]
-
A.
Menzel Bourguiba
Menzel Bourguiba is an industrial town in northern Tunisia known historically for its shipbuilding and naval base on Lake Bizerte.
-
B.
Zine El Abidine Ben Ali
Zine El Abidine Ben Ali was the authoritarian leader of Tunisia from 1987 until his ouster during the 2011 Arab Spring uprising.
-
C.
Ali Salim al-Beidh
Ali Salim al-Beidh is a Yemeni politician who served as a leading figure of South Yemen and later became a prominent advocate for southern Yemeni independence.
-
D.
Adel Taarabt
Adel Taarabt is a Moroccan attacking midfielder known for his exceptional dribbling skills and flair, particularly during his standout spell in English football.
-
E.
Abdallah Georges
Abdallah Georges was a military commander known for leading forces in the Battle of Palmyra.
- 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: Saïd Ben Saïd Triple: [Carnage, producer, Saïd Ben Saïd]
Generated description
Saïd Ben Saïd is a Tunisian-French film producer known for collaborating with prominent directors on acclaimed international films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saïd Ben Saïd Target entity description: Saïd Ben Saïd is a Tunisian-French film producer known for collaborating with prominent directors on acclaimed international films.
-
A.
Menzel Bourguiba
Menzel Bourguiba is an industrial town in northern Tunisia known historically for its shipbuilding and naval base on Lake Bizerte.
-
B.
Zine El Abidine Ben Ali
Zine El Abidine Ben Ali was the authoritarian leader of Tunisia from 1987 until his ouster during the 2011 Arab Spring uprising.
-
C.
Ali Salim al-Beidh
Ali Salim al-Beidh is a Yemeni politician who served as a leading figure of South Yemen and later became a prominent advocate for southern Yemeni independence.
-
D.
Adel Taarabt
Adel Taarabt is a Moroccan attacking midfielder known for his exceptional dribbling skills and flair, particularly during his standout spell in English football.
-
E.
Abdallah Georges
Abdallah Georges was a military commander known for leading forces in the Battle of Palmyra.
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c28dbbc8190a0a0c20ec794e81a |
completed | March 22, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135bd8d3881909873d2a063b3aecc |
completed | March 23, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69c1392b0e448190846ccf73e89a6ad3 |
completed | March 23, 2026, 12:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c139884ba881908db94f17d8d97faf |
completed | March 23, 2026, 1 p.m. |
Created at: March 22, 2026, 4:15 p.m.