Triple
T6369594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mo'Nique |
E143313
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Monique
Monique is the given name of the American comedian and Academy Award–winning actress Mo'Nique.
|
E588005
|
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: Monique | Statement: [Mo'Nique, givenName, Monique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monique Context triple: [Mo'Nique, givenName, Monique]
-
A.
Rachel, Monique
"Rachel, Monique" is a conceptual art project by Sophie Calle centered on her mother’s life, identity, and death, combining text, photography, and installation to explore memory and loss.
-
B.
Nicole
Nicole is a feminine given name of Greek origin meaning "victory of the people," commonly used in many English- and French-speaking countries.
-
C.
Nicole
Nicole is a sharp-tongued, down-to-earth maid in Molière’s comedy "Le Bourgeois gentilhomme," often serving as a voice of reason and satire against her master’s pretensions.
-
D.
Nicole
Nicole is a fictional character from the American sitcom "The Gregory Hines Show."
-
E.
Nicole
Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
- 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: Monique Triple: [Mo'Nique, givenName, Monique]
Generated description
Monique is the given name of the American comedian and Academy Award–winning actress Mo'Nique.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monique Target entity description: Monique is the given name of the American comedian and Academy Award–winning actress Mo'Nique.
-
A.
Rachel, Monique
"Rachel, Monique" is a conceptual art project by Sophie Calle centered on her mother’s life, identity, and death, combining text, photography, and installation to explore memory and loss.
-
B.
Nicole
Nicole is a feminine given name of Greek origin meaning "victory of the people," commonly used in many English- and French-speaking countries.
-
C.
Nicole
Nicole is a fictional character from the American sitcom "The Gregory Hines Show."
-
D.
Nicole
Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
-
E.
Nicole
Nicole is a sharp-tongued, down-to-earth maid in Molière’s comedy "Le Bourgeois gentilhomme," often serving as a voice of reason and satire against her master’s pretensions.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068265a7481908571be7ea4ac11b7 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d8bce3481909b0bf7533b330d1f |
completed | March 27, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_69c62e2072808190a4f2dd262b631c88 |
completed | March 27, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c62f1bbdac8190b0cff9fbcddd68a7 |
completed | March 27, 2026, 7:17 a.m. |
Created at: March 22, 2026, 4:33 p.m.