Triple
T34952034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Lucemburský |
E1008025
|
entity |
| Predicate | matka |
P45914
|
FINISHED |
| Object |
Markéta Brabantská
Markéta Brabantská byla česká a římská královna z rodu brabantských vévodů, manželka krále Jana Lucemburského a matka císaře Karla IV.
|
E2132478
|
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: Markéta Brabantská | Statement: [Jan Lucemburský, matka, Markéta Brabantská]
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: Markéta Brabantská Triple: [Jan Lucemburský, matka, Markéta Brabantská]
Generated description
Markéta Brabantská byla česká a římská královna z rodu brabantských vévodů, manželka krále Jana Lucemburského a matka císaře Karla IV.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: matka Context triple: [Jan Lucemburský, matka, Markéta Brabantská]
-
A.
motherIn
Indicates that one entity is the mother of another entity within a specified context or domain.
-
B.
motherMother
Indicates that one entity is the mother of another entity’s mother (i.e., the maternal grandmother relationship).
-
C.
motherWas
Indicates that one entity was the mother (biological or adoptive) of another entity at some time in the past.
-
D.
motherKunya
Indicates that one entity is the mother of another, referred to specifically by her kunya (a teknonymic nickname, typically "mother of X").
-
E.
motherIs
chosen
Indicates that one entity is the mother (biological or adoptive) of another entity.
- 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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782cea4c881908ada116c80eafa15 |
completed | May 3, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a380f8b68f48190a1bbc2b51f202dcf |
completed | June 21, 2026, 4:21 p.m. |
| NEDg | Description generation | batch_6a381054dd7c8190bf1bd04106c4c961 |
completed | June 21, 2026, 4:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3811591560819086763f49d26a5482 |
completed | June 21, 2026, 4:29 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.