Triple
T14677421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darius Khondji |
E344680
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Marie Khondji |
E344680
|
NE FINISHED |
How this triple was built (2 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: Marie Khondji | Statement: [Darius Khondji, hasChild, Marie Khondji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie Khondji Context triple: [Darius Khondji, hasChild, Marie Khondji]
-
A.
Marie Khondji
chosen
Marie Khondji is the daughter of acclaimed cinematographer Darius Khondji.
-
B.
Eudoxie Mbouguiengue
Eudoxie Mbouguiengue is a Gabonese-born model and philanthropist known for her advocacy work supporting women and as the wife of rapper and actor Ludacris (Christopher Brian Bridges).
-
C.
Viviane Khondji
Viviane Khondji is known as the spouse of acclaimed cinematographer Darius Khondji.
-
D.
Antoinette Nana Djimou
Antoinette Nana Djimou is a French heptathlete and former European champion known for her success in combined events.
-
E.
Marie-José Benhalassa
Marie-José Benhalassa, better known as Marie-José Nat, was a French actress renowned for her roles in mid-20th-century French cinema and her collaborations with director Michel Drach.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb567c2b88190a9639e61b6fba7df |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d379bc881908b7954c633787165 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:27 a.m.