Triple
T14199695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilhelm Tempel |
E351930
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Leberecht
Leberecht is the given name of the 19th-century German astronomer Wilhelm Tempel, known for discovering several comets and asteroids.
|
E1088796
|
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: Leberecht | Statement: [Wilhelm Tempel, givenName, Leberecht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leberecht Context triple: [Wilhelm Tempel, givenName, Leberecht]
-
A.
Lorenz Ferdinand
Lorenz Ferdinand is one of the sons of former England and Manchester United footballer Rio Ferdinand.
-
B.
Siegfried von Hohenlohe
Siegfried von Hohenlohe was an Austro-Hungarian nobleman and high-ranking military officer who rose to senior command in the imperial army.
-
C.
Lothar
Lothar is a masculine given name of Germanic origin, historically borne by various European nobles, military figures, and notable individuals.
-
D.
Ludwig von Westphalen
Ludwig von Westphalen was a Prussian aristocrat and government official best known as the father-in-law and early intellectual influence of Karl Marx.
-
E.
Lion of Hesse
The Lion of Hesse is the heraldic lion emblem that serves as the central symbol of the German state and former princely House of Hesse.
- 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: Leberecht Triple: [Wilhelm Tempel, givenName, Leberecht]
Generated description
Leberecht is the given name of the 19th-century German astronomer Wilhelm Tempel, known for discovering several comets and asteroids.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leberecht Target entity description: Leberecht is the given name of the 19th-century German astronomer Wilhelm Tempel, known for discovering several comets and asteroids.
-
A.
Lorenz Ferdinand
Lorenz Ferdinand is one of the sons of former England and Manchester United footballer Rio Ferdinand.
-
B.
Siegfried von Hohenlohe
Siegfried von Hohenlohe was an Austro-Hungarian nobleman and high-ranking military officer who rose to senior command in the imperial army.
-
C.
Lothar
Lothar is a masculine given name of Germanic origin, historically borne by various European nobles, military figures, and notable individuals.
-
D.
Ludwig von Westphalen
Ludwig von Westphalen was a Prussian aristocrat and government official best known as the father-in-law and early intellectual influence of Karl Marx.
-
E.
Lion of Hesse
The Lion of Hesse is the heraldic lion emblem that serves as the central symbol of the German state and former princely House of Hesse.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f472548190a1a7edc40526eac3 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324b86748190b3e0a39383969cc7 |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd331562308190a0a2dfcc4a0d26a0 |
completed | May 8, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd338f13dc8190b264534ed9a78cb5 |
completed | May 8, 2026, 12:51 a.m. |
Created at: April 10, 2026, 1:04 a.m.