Triple
T18938635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard de Belmeis I |
E463320
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Belmeis
de Belmeis is a medieval Anglo-Norman family name associated with prominent clerics and officials in the English church and royal administration.
|
E1350329
|
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 Belmeis | Statement: [Richard de Belmeis I, familyName, de Belmeis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Belmeis Context triple: [Richard de Belmeis I, familyName, de Belmeis]
-
A.
Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
-
B.
de Berghes
de Berghes is a noble family name of likely Belgian or Dutch origin historically associated with aristocratic lineages in the Low Countries.
-
C.
Cortébert
Cortébert is a small municipality and village in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
-
D.
Belasyse
Belasyse is an English noble family name historically associated with aristocratic titles such as the Earls Fauconberg.
-
E.
Le Guignon
Le Guignon is a poem by French writer Charles Baudelaire, included among his early poetic works.
- 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 Belmeis Triple: [Richard de Belmeis I, familyName, de Belmeis]
Generated description
de Belmeis is a medieval Anglo-Norman family name associated with prominent clerics and officials in the English church and royal administration.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Belmeis Target entity description: de Belmeis is a medieval Anglo-Norman family name associated with prominent clerics and officials in the English church and royal administration.
-
A.
Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
-
B.
de Berghes
de Berghes is a noble family name of likely Belgian or Dutch origin historically associated with aristocratic lineages in the Low Countries.
-
C.
Cortébert
Cortébert is a small municipality and village in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
-
D.
Belasyse
Belasyse is an English noble family name historically associated with aristocratic titles such as the Earls Fauconberg.
-
E.
Le Guignon
Le Guignon is a poem by French writer Charles Baudelaire, included among his early poetic works.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3ea39dc8190a2f773e09e11e6d1 |
completed | April 20, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fc494688190bcdff517f3392c44 |
completed | May 14, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_6a05a04c487481909f1d74b2948eea6f |
completed | May 14, 2026, 10:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a0c5822c8190be8e73a044bc601d |
completed | May 14, 2026, 10:15 a.m. |
Created at: April 10, 2026, 11:59 a.m.