Triple
T11162007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte de Laval |
E264058
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Laval
De Laval is a French noble family name historically associated with Breton and French aristocracy.
|
E909259
|
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: de Laval | Statement: [Charlotte de Laval, familyName, de Laval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Laval Context triple: [Charlotte de Laval, familyName, de Laval]
-
A.
Drouet
Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
-
B.
Kleiser
Kleiser is a surname most notably associated with American film director Randal Kleiser, known for directing the musical romantic comedy "Grease."
-
C.
Balard
Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
-
D.
Rousselot
Rousselot is a French surname borne by various notable figures, including acclaimed cinematographer Philippe Rousselot.
-
E.
Berthelot
Berthelot is a French surname most notably associated with the influential 19th-century chemist and politician Marcelin Berthelot.
- 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: de Laval Triple: [Charlotte de Laval, familyName, de Laval]
Generated description
De Laval is a French noble family name historically associated with Breton and French aristocracy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Laval Target entity description: De Laval is a French noble family name historically associated with Breton and French aristocracy.
-
A.
Drouet
Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
-
B.
Kleiser
Kleiser is a surname most notably associated with American film director Randal Kleiser, known for directing the musical romantic comedy "Grease."
-
C.
Balard
Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
-
D.
Rousselot
Rousselot is a French surname borne by various notable figures, including acclaimed cinematographer Philippe Rousselot.
-
E.
Berthelot
Berthelot is a French surname most notably associated with the influential 19th-century chemist and politician Marcelin Berthelot.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8832fe88190a74d81f9ed547baa |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e46375c61c8190939401f790cf1593 |
completed | April 19, 2026, 5:09 a.m. |
| NEDg | Description generation | batch_69e46c374ca08190a876ee68dea9b821 |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4747bc02c81908f0782cf85667f3f |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 8, 2026, 9:29 p.m.