Triple
T20347749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | And Now… Ladies and Gentlemen |
E495916
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Farida Ouchani
Farida Ouchani is an actress known for her role in the film "And Now… Ladies and Gentlemen."
|
E1425561
|
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: Farida Ouchani | Statement: [And Now… Ladies and Gentlemen, castMember, Farida Ouchani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farida Ouchani Context triple: [And Now… Ladies and Gentlemen, castMember, Farida Ouchani]
-
A.
Naïma Kefi
Naïma Kefi is a Tunisian public figure best known as the wife of former Tunisian president Zine El Abidine Ben Ali.
-
B.
Naidra Ayadi
Naidra Ayadi is a French actress best known for her acclaimed performance in the gritty crime drama film "Polisse," which earned her significant recognition in French cinema.
-
C.
Mariem Meziani
Mariem Meziani is a Belgian politician who serves as the mayor of the municipality of Forest in the Brussels-Capital Region.
-
D.
Tahya Tounes
Tahya Tounes is a Tunisian political party formed by former members of Nidaa Tounes and associated with centrist, secular, and pro-government positions.
-
E.
Nadia Bouzidi
Nadia Bouzidi is a French local politician serving as the mayor of the commune of Châtillon.
- 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: Farida Ouchani Triple: [And Now… Ladies and Gentlemen, castMember, Farida Ouchani]
Generated description
Farida Ouchani is an actress known for her role in the film "And Now… Ladies and Gentlemen."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Farida Ouchani Target entity description: Farida Ouchani is an actress known for her role in the film "And Now… Ladies and Gentlemen."
-
A.
Naïma Kefi
Naïma Kefi is a Tunisian public figure best known as the wife of former Tunisian president Zine El Abidine Ben Ali.
-
B.
Naidra Ayadi
Naidra Ayadi is a French actress best known for her acclaimed performance in the gritty crime drama film "Polisse," which earned her significant recognition in French cinema.
-
C.
Mariem Meziani
Mariem Meziani is a Belgian politician who serves as the mayor of the municipality of Forest in the Brussels-Capital Region.
-
D.
Tahya Tounes
Tahya Tounes is a Tunisian political party formed by former members of Nidaa Tounes and associated with centrist, secular, and pro-government positions.
-
E.
Nadia Bouzidi
Nadia Bouzidi is a French local politician serving as the mayor of the commune of Châtillon.
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67839e7b48190876ce7133a20c65b |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08696353608190adf7492e6c5377f9 |
completed | May 16, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0869b998108190a5c6652c2f5f2f5d |
completed | May 16, 2026, 12:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a6812a08190b4594fa9b6054355 |
completed | May 16, 2026, 1 p.m. |
Created at: April 16, 2026, 11:24 a.m.