Triple
T12436207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harlem Désir |
E297149
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Désir
Désir is a French surname borne by various notable individuals, including politicians and public figures.
|
E983682
|
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: Désir | Statement: [Harlem Désir, familyName, Désir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Désir Context triple: [Harlem Désir, familyName, Désir]
-
A.
Le Plaisir
Le Plaisir is a 1952 French anthology film directed by Max Ophüls, adapting three Guy de Maupassant stories into elegant, interwoven tales of love, desire, and human folly.
-
B.
Plaisir d’amour
"Plaisir d’amour" is a classic 18th-century French love song, widely known through numerous interpretations including a popular rendition by Nana Mouskouri.
-
C.
L'Amant
L'Amant is a semi-autobiographical novel by Marguerite Duras that recounts a passionate adolescent love affair in colonial French Indochina.
-
D.
De l'amour
De l'amour is a psychological and philosophical treatise by Stendhal that analyzes the nature, stages, and illusions of romantic love.
-
E.
Folle Blanche
Folle Blanche is a traditional French white grape variety historically prized in Armagnac and Cognac production for its high acidity and delicate, floral spirits.
- 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: Désir Triple: [Harlem Désir, familyName, Désir]
Generated description
Désir is a French surname borne by various notable individuals, including politicians and public figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Désir Target entity description: Désir is a French surname borne by various notable individuals, including politicians and public figures.
-
A.
Le Plaisir
Le Plaisir is a 1952 French anthology film directed by Max Ophüls, adapting three Guy de Maupassant stories into elegant, interwoven tales of love, desire, and human folly.
-
B.
Plaisir d’amour
"Plaisir d’amour" is a classic 18th-century French love song, widely known through numerous interpretations including a popular rendition by Nana Mouskouri.
-
C.
L'Amant
L'Amant is a semi-autobiographical novel by Marguerite Duras that recounts a passionate adolescent love affair in colonial French Indochina.
-
D.
De l'amour
De l'amour is a psychological and philosophical treatise by Stendhal that analyzes the nature, stages, and illusions of romantic love.
-
E.
Folle Blanche
Folle Blanche is a traditional French white grape variety historically prized in Armagnac and Cognac production for its high acidity and delicate, floral spirits.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8c8fd481909b35ac504127a1b6 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f06d16481909ed2eb5195ebd7e4 |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6400fe9888190ae8244ccc8e8bc39 |
completed | May 2, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64168d23881908daee7d7cba2160d |
completed | May 2, 2026, 6:24 p.m. |
Created at: April 8, 2026, 9:55 p.m.