Triple
T19650262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolphe Billault |
E471794
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Billault
Billault is a French surname most notably associated with 19th-century politician Adolphe Billault.
|
E1388733
|
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: Billault | Statement: [Adolphe Billault, familyName, Billault]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billault Context triple: [Adolphe Billault, familyName, Billault]
-
A.
Bidault
Bidault is a French surname most notably associated with Georges Bidault, a prominent mid-20th-century French politician and statesman.
-
B.
Bollaert
Bollaert is the commonly used nickname for Stade Bollaert-Delelis, the historic football stadium in Lens, France.
-
C.
Gillet
Gillet is a surname and variant spelling of "Gillett," borne by various individuals and families, particularly in French- and English-speaking regions.
-
D.
Boulger
Boulger is a surname, likely a variant spelling of Bulger, borne by various individuals of Irish or British origin.
-
E.
Belasyse
Belasyse is an English noble family name historically associated with aristocratic titles such as the Earls Fauconberg.
- 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: Billault Triple: [Adolphe Billault, familyName, Billault]
Generated description
Billault is a French surname most notably associated with 19th-century politician Adolphe Billault.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Billault Target entity description: Billault is a French surname most notably associated with 19th-century politician Adolphe Billault.
-
A.
Bidault
Bidault is a French surname most notably associated with Georges Bidault, a prominent mid-20th-century French politician and statesman.
-
B.
Bollaert
Bollaert is the commonly used nickname for Stade Bollaert-Delelis, the historic football stadium in Lens, France.
-
C.
Gillet
Gillet is a surname and variant spelling of "Gillett," borne by various individuals and families, particularly in French- and English-speaking regions.
-
D.
Boulger
Boulger is a surname, likely a variant spelling of Bulger, borne by various individuals of Irish or British origin.
-
E.
Belasyse
Belasyse is an English noble family name historically associated with aristocratic titles such as the Earls Fauconberg.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641286bbc8190886f309de13063bf |
completed | April 20, 2026, 3:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a077eef87108190a3858836dce29341 |
completed | May 15, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a077fb5d7288190a691e312ec22789b |
completed | May 15, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07810b1de88190a2516712767fde52 |
completed | May 15, 2026, 8:24 p.m. |
Created at: April 10, 2026, 1:44 p.m.