Triple
T10470102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biutiful |
E246901
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Hanaa Bouchaib
Hanaa Bouchaib is an actress known for her role in the acclaimed Spanish-language drama film "Biutiful."
|
E864606
|
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: Hanaa Bouchaib | Statement: [Biutiful, castMember, Hanaa Bouchaib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanaa Bouchaib Context triple: [Biutiful, castMember, Hanaa Bouchaib]
-
A.
Fatiha Boudjahlat
Fatiha Boudjahlat is a French essayist, teacher, and feminist known for her staunch defense of secularism and republican universalism, particularly in debates on religious symbols and identity politics.
-
B.
Latifa Ouaou
Latifa Ouaou is a film producer best known for her work on animated features such as DreamWorks' "Puss in Boots."
-
C.
Wassila Ben Ammar
Wassila Ben Ammar was a prominent Tunisian political figure and the influential second wife of President Habib Bourguiba.
-
D.
Chadlia Saïda Farhat
Chadlia Saïda Farhat was the First Lady of Tunisia during the presidency of her husband, Beji Caid Essebsi.
-
E.
Naïma Kefi
Naïma Kefi is a Tunisian public figure best known as the wife of former Tunisian president Zine El Abidine Ben Ali.
- 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: Hanaa Bouchaib Triple: [Biutiful, castMember, Hanaa Bouchaib]
Generated description
Hanaa Bouchaib is an actress known for her role in the acclaimed Spanish-language drama film "Biutiful."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanaa Bouchaib Target entity description: Hanaa Bouchaib is an actress known for her role in the acclaimed Spanish-language drama film "Biutiful."
-
A.
Fatiha Boudjahlat
Fatiha Boudjahlat is a French essayist, teacher, and feminist known for her staunch defense of secularism and republican universalism, particularly in debates on religious symbols and identity politics.
-
B.
Latifa Ouaou
Latifa Ouaou is a film producer best known for her work on animated features such as DreamWorks' "Puss in Boots."
-
C.
Wassila Ben Ammar
Wassila Ben Ammar was a prominent Tunisian political figure and the influential second wife of President Habib Bourguiba.
-
D.
Chadlia Saïda Farhat
Chadlia Saïda Farhat was the First Lady of Tunisia during the presidency of her husband, Beji Caid Essebsi.
-
E.
Naïma Kefi
Naïma Kefi is a Tunisian public figure best known as the wife of former Tunisian president Zine El Abidine Ben Ali.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092fa6048190b26d481ddc3e3ec2 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89ffdfd988190a37b3444d096e678 |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a166404881909c28141fefea2936 |
completed | April 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a2c550ac81908444c6abfe14698a |
completed | April 10, 2026, 7:12 a.m. |
Created at: April 6, 2026, 12:20 p.m.