Triple
T6613970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pepe |
E149302
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Képler
Képler is a given name associated with the individual known as Pepe.
|
E617329
|
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: Képler | Statement: [Pepe, givenName, Képler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Képler Context triple: [Pepe, givenName, Képler]
-
A.
Johannes Kepler
Johannes Kepler was a pioneering 17th-century German astronomer and mathematician best known for formulating the three laws of planetary motion that laid crucial groundwork for classical mechanics.
-
B.
Jørgen Brahe
Jørgen Brahe was a Danish nobleman and foster father of the astronomer Tycho Brahe, playing a key role in raising and educating him.
-
C.
Brahe
Brahe is a noble Scandinavian surname most famously associated with the Danish astronomer Tycho Brahe and his influential family.
-
D.
Abraham Brahe
Abraham Brahe was a Swedish nobleman of the influential Brahe family and the father of statesman and governor-general Per Brahe the Younger.
-
E.
Tycho Brahe
Tycho Brahe was a Danish nobleman and astronomer whose precise naked-eye observations of the heavens greatly improved astronomical data and paved the way for Kepler’s laws of planetary motion.
- 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: Képler Triple: [Pepe, givenName, Képler]
Generated description
Képler is a given name associated with the individual known as Pepe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Képler Target entity description: Képler is a given name associated with the individual known as Pepe.
-
A.
Johannes Kepler
Johannes Kepler was a pioneering 17th-century German astronomer and mathematician best known for formulating the three laws of planetary motion that laid crucial groundwork for classical mechanics.
-
B.
Jørgen Brahe
Jørgen Brahe was a Danish nobleman and foster father of the astronomer Tycho Brahe, playing a key role in raising and educating him.
-
C.
Brahe
Brahe is a noble Scandinavian surname most famously associated with the Danish astronomer Tycho Brahe and his influential family.
-
D.
Abraham Brahe
Abraham Brahe was a Swedish nobleman of the influential Brahe family and the father of statesman and governor-general Per Brahe the Younger.
-
E.
Tycho Brahe
Tycho Brahe was a Danish nobleman and astronomer whose precise naked-eye observations of the heavens greatly improved astronomical data and paved the way for Kepler’s laws of planetary motion.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af3890408190a0edf2f813b93196 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7128848fc8190810d8ffb5149b490 |
completed | March 27, 2026, 11:28 p.m. |
| NEDg | Description generation | batch_69c713842b9c8190ae31eba0bd449968 |
completed | March 27, 2026, 11:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71444e9ec8190a68531ed29fd9377 |
completed | March 27, 2026, 11:35 p.m. |
Created at: March 27, 2026, 1:57 p.m.