Triple
T36433244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desideria |
E897499
|
entity |
| Predicate | spouseNameRegnal |
P109829
|
FINISHED |
| Object |
Charlemagne
Charlemagne was the King of the Franks and Lombards who became the first Holy Roman Emperor and is often regarded as the "Father of Europe" for uniting much of Western and Central Europe during the early Middle Ages.
|
E45038
|
NE FINISHED |
How this triple was built (3 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: Charlemagne | Statement: [Desideria, spouseNameRegnal, Charlemagne]
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: Charlemagne Triple: [Desideria, spouseNameRegnal, Charlemagne]
Generated description
Charlemagne was the King of the Franks and Lombards who became the first Holy Roman Emperor and is often regarded as the "Father of Europe" for uniting much of Western and Central Europe during the early Middle Ages.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseNameRegnal Context triple: [Desideria, spouseNameRegnal, Charlemagne]
-
A.
spouseReignName
chosen
Indicates the official reign name or title held by a person's spouse during their period of rule.
-
B.
spouseServedMonarch
Indicates that the spouse of a person held a position of service or duty to a monarch.
-
C.
spouseOfRoyalHouse
Indicates that one entity is the spouse or consort of a member of a royal house.
-
D.
regentSpouse
Indicates that one person is the spouse of a regent, i.e., married to an individual who rules on behalf of a monarch or in place of the sovereign.
-
E.
spouseIsMonarchOf
Indicates that a person's spouse holds the position of monarch (ruler) of a specified country or territory.
- F. None of above.
Provenance (6 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_69f76e56636481908eda808ab0273401 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39dbc274b08190a02252add57f8ad6 |
completed | June 23, 2026, 1:05 a.m. |
| NEDg | Description generation | batch_6a39dc983b8c819095dddd0c9498cd3b |
completed | June 23, 2026, 1:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a39de5091f8819082f7dd6f5dfff703 |
completed | June 23, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
Created at: May 3, 2026, 4:10 p.m.