Triple
T8624639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ousmane Sembène |
E204252
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Moolaadé
Moolaadé is a 2004 Senegalese drama film by Ousmane Sembène that powerfully critiques female genital mutilation through the story of a village woman who offers protection to young girls seeking refuge.
|
E747503
|
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: Moolaadé | Statement: [Ousmane Sembène, notableWork, Moolaadé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moolaadé Context triple: [Ousmane Sembène, notableWork, Moolaadé]
-
A.
Mouloudia
Mouloudia is the popular nickname of MC Alger, one of Algeria’s most historic and successful football clubs.
-
B.
Kelaat M'Gouna
Kelaat M'Gouna is a Moroccan town famed for its rose cultivation and annual Rose Festival, attracting visitors to the Drâa-Tafilalet region.
-
C.
Erzulie Freda
Erzulie Freda is a prominent Haitian Vodou spirit associated with love, beauty, luxury, and feminine sensuality.
-
D.
Nayrouz
Nayrouz is the Coptic New Year festival, commemorating the martyrs and marking the beginning of the Coptic calendar year.
-
E.
Dhulandi
Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
- 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: Moolaadé Triple: [Ousmane Sembène, notableWork, Moolaadé]
Generated description
Moolaadé is a 2004 Senegalese drama film by Ousmane Sembène that powerfully critiques female genital mutilation through the story of a village woman who offers protection to young girls seeking refuge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moolaadé Target entity description: Moolaadé is a 2004 Senegalese drama film by Ousmane Sembène that powerfully critiques female genital mutilation through the story of a village woman who offers protection to young girls seeking refuge.
-
A.
Mouloudia
Mouloudia is the popular nickname of MC Alger, one of Algeria’s most historic and successful football clubs.
-
B.
Kelaat M'Gouna
Kelaat M'Gouna is a Moroccan town famed for its rose cultivation and annual Rose Festival, attracting visitors to the Drâa-Tafilalet region.
-
C.
Erzulie Freda
Erzulie Freda is a prominent Haitian Vodou spirit associated with love, beauty, luxury, and feminine sensuality.
-
D.
Nayrouz
Nayrouz is the Coptic New Year festival, commemorating the martyrs and marking the beginning of the Coptic calendar year.
-
E.
Dhulandi
Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4728360c8190b5e600596cbced0c |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbe6a7e48190a166a31dccd8ac16 |
completed | April 2, 2026, 6:56 p.m. |
| NEDg | Description generation | batch_69cebe299de881909dcbb37b2b718201 |
completed | April 2, 2026, 7:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebedb7f0c8190be98ffec07ce6fbc |
completed | April 2, 2026, 7:09 p.m. |
Created at: March 30, 2026, 6:26 p.m.