Triple

T12991249
Position Surface form Disambiguated ID Type / Status
Subject Angélique Kidjo E321910 entity
Predicate child P120 FINISHED
Object Naïma Hébrail Kidjo
Naïma Hébrail Kidjo is the daughter of renowned Beninese-French singer and activist Angélique Kidjo.
E1022731 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: Naïma Hébrail Kidjo | Statement: [Angélique Kidjo, child, Naïma Hébrail Kidjo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naïma Hébrail Kidjo
Context triple: [Angélique Kidjo, child, Naïma Hébrail Kidjo]
  • A. Angelique Kidjo
    Angelique Kidjo is a Grammy-winning Beninese singer-songwriter and activist renowned for her powerful voice, genre-blending Afro-pop music, and advocacy for human rights and African culture.
  • B. Lola Khondji
    Lola Khondji is a French filmmaker and cinematographer known for her work on visually distinctive, often experimental short films and music videos.
  • C. Aïssa Maïga
    Aïssa Maïga is a French-Senegalese actress and filmmaker known for her roles in international cinema and her advocacy for greater diversity and representation in the film industry.
  • D. Marie Khondji
    Marie Khondji is the daughter of acclaimed cinematographer Darius Khondji.
  • E. Antoinette Nana Djimou
    Antoinette Nana Djimou is a French heptathlete and former European champion known for her success in combined events.
  • 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: Naïma Hébrail Kidjo
Triple: [Angélique Kidjo, child, Naïma Hébrail Kidjo]
Generated description
Naïma Hébrail Kidjo is the daughter of renowned Beninese-French singer and activist Angélique Kidjo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Naïma Hébrail Kidjo
Target entity description: Naïma Hébrail Kidjo is the daughter of renowned Beninese-French singer and activist Angélique Kidjo.
  • A. Angelique Kidjo
    Angelique Kidjo is a Grammy-winning Beninese singer-songwriter and activist renowned for her powerful voice, genre-blending Afro-pop music, and advocacy for human rights and African culture.
  • B. Lola Khondji
    Lola Khondji is a French filmmaker and cinematographer known for her work on visually distinctive, often experimental short films and music videos.
  • C. Aïssa Maïga
    Aïssa Maïga is a French-Senegalese actress and filmmaker known for her roles in international cinema and her advocacy for greater diversity and representation in the film industry.
  • D. Marie Khondji
    Marie Khondji is the daughter of acclaimed cinematographer Darius Khondji.
  • E. Antoinette Nana Djimou
    Antoinette Nana Djimou is a French heptathlete and former European champion known for her success in combined events.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7765788190a9503ef055bc30ca completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e266000c8190b0ba4c9e63ba0542 completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e42cd5408190b687dfae73e2a720 completed May 3, 2026, 5:59 a.m.
NED2 Entity disambiguation (via description) batch_69f6e5293ee481908d9a90266ac5c3e6 completed May 3, 2026, 6:03 a.m.
Created at: April 9, 2026, 8:43 p.m.