Triple
T22527821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arab cinema |
E556953
|
entity |
| Predicate | hasNotableDirector |
P4744
|
FINISHED |
| Object |
Jocelyne Saab
Jocelyne Saab was a pioneering Lebanese filmmaker and documentarian known for her powerful portrayals of war, memory, and identity in Arab cinema.
|
E1542009
|
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: Jocelyne Saab | Statement: [Arab cinema, hasNotableDirector, Jocelyne Saab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jocelyne Saab Context triple: [Arab cinema, hasNotableDirector, Jocelyne Saab]
-
A.
Camille Boustany
Camille Boustany is a notable individual recognized for bearing the Boustany surname.
-
B.
Simona Benzakein
Simona Benzakein is a film producer known for her work on the Spanish drama "The Tree of Blood."
-
C.
Lila Yacoub
Lila Yacoub is a film producer known for her work on independent features such as Noah Baumbach’s comedy-drama "Mistress America."
-
D.
Nadia Chirine
Nadia Chirine was an Egyptian princess and daughter of Queen Fawzia of Egypt, known for her connection to both the Egyptian and Iranian royal families.
-
E.
Laura Flessel-Colovic
Laura Flessel-Colovic is a French épée fencer and multiple Olympic medalist, widely regarded as one of France’s most successful and celebrated fencers.
- 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: Jocelyne Saab Triple: [Arab cinema, hasNotableDirector, Jocelyne Saab]
Generated description
Jocelyne Saab was a pioneering Lebanese filmmaker and documentarian known for her powerful portrayals of war, memory, and identity in Arab cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jocelyne Saab Target entity description: Jocelyne Saab was a pioneering Lebanese filmmaker and documentarian known for her powerful portrayals of war, memory, and identity in Arab cinema.
-
A.
Camille Boustany
Camille Boustany is a notable individual recognized for bearing the Boustany surname.
-
B.
Simona Benzakein
Simona Benzakein is a film producer known for her work on the Spanish drama "The Tree of Blood."
-
C.
Lila Yacoub
Lila Yacoub is a film producer known for her work on independent features such as Noah Baumbach’s comedy-drama "Mistress America."
-
D.
Nadia Chirine
Nadia Chirine was an Egyptian princess and daughter of Queen Fawzia of Egypt, known for her connection to both the Egyptian and Iranian royal families.
-
E.
Laura Flessel-Colovic
Laura Flessel-Colovic is a French épée fencer and multiple Olympic medalist, widely regarded as one of France’s most successful and celebrated fencers.
- 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_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1dda8fd48190a9bb7f64c2b0b684 |
completed | May 18, 2026, 2:10 p.m. |
| NEDg | Description generation | batch_6a0b1f71cd00819089872bb9fe52a248 |
completed | May 18, 2026, 2:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b257ec8a481908bf6c6c0b722e702 |
completed | May 18, 2026, 2:43 p.m. |
Created at: April 16, 2026, 8:51 p.m.