Triple
T996249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominique Strauss-Kahn |
E21501
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Dominique
Dominique is a French given name commonly used for both males and females, notably borne by figures such as former IMF chief Dominique Strauss-Kahn.
|
E134253
|
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: Dominique | Statement: [Dominique Strauss-Kahn, givenName, Dominique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dominique Context triple: [Dominique Strauss-Kahn, givenName, Dominique]
-
A.
Clémentine
Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
-
B.
Camille Lefèvre
Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
-
C.
Micheline
Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
-
D.
Pierrette
Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
-
E.
Antoinette
Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
- 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: Dominique Triple: [Dominique Strauss-Kahn, givenName, Dominique]
Generated description
Dominique is a French given name commonly used for both males and females, notably borne by figures such as former IMF chief Dominique Strauss-Kahn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dominique Target entity description: Dominique is a French given name commonly used for both males and females, notably borne by figures such as former IMF chief Dominique Strauss-Kahn.
-
A.
Clémentine
Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
-
B.
Camille Lefèvre
Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
-
C.
Micheline
Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
-
D.
Pierrette
Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
-
E.
Antoinette
Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4df6dcc819084a7c0a50637a2c2 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac66179f908190b3f0144d1ee91a1c |
completed | March 7, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69ac66f0e874819092d51913f08905d4 |
completed | March 7, 2026, 5:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac676cb9a08190a83d47de80126677 |
completed | March 7, 2026, 5:59 p.m. |
Created at: March 1, 2026, 7:41 p.m.