Triple
T22739652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri de Rigny |
E562373
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Rigny
De Rigny is a French surname most notably associated with Henri de Rigny, a 19th-century French admiral and statesman.
|
E1552715
|
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 Rigny | Statement: [Henri de Rigny, familyName, de Rigny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Rigny Context triple: [Henri de Rigny, familyName, de Rigny]
-
A.
Tanguy
Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
-
B.
de Ligniville
De Ligniville is a French noble family name historically associated with members of the aristocracy and intellectual salons.
-
C.
Sagnier
Sagnier is a Catalan surname most notably associated with Enric Sagnier, a prolific modernist architect from Barcelona.
-
D.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
E.
Dagneux
Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
- 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 Rigny Triple: [Henri de Rigny, familyName, de Rigny]
Generated description
De Rigny is a French surname most notably associated with Henri de Rigny, a 19th-century French admiral and statesman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Rigny Target entity description: De Rigny is a French surname most notably associated with Henri de Rigny, a 19th-century French admiral and statesman.
-
A.
Tanguy
Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
-
B.
de Ligniville
De Ligniville is a French noble family name historically associated with members of the aristocracy and intellectual salons.
-
C.
Sagnier
Sagnier is a Catalan surname most notably associated with Enric Sagnier, a prolific modernist architect from Barcelona.
-
D.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
E.
Dagneux
Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1797241588190be67db7a37a88f23 |
completed | April 29, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fce978c81908b83f84dc1357c91 |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b937b20008190817512be3d48df39 |
completed | May 18, 2026, 10:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b946320e0819097ef9c4638595dff |
completed | May 18, 2026, 10:36 p.m. |
Created at: April 17, 2026, 3:23 p.m.