Triple
T19468813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manfred Korfmann |
E487067
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Korfmann
Korfmann is a German surname most notably associated with archaeologist Manfred Korfmann, known for his excavations at the ancient site of Troy.
|
E1377492
|
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: Korfmann | Statement: [Manfred Korfmann, familyName, Korfmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korfmann Context triple: [Manfred Korfmann, familyName, Korfmann]
-
A.
Jungmann
Jungmann is the nickname of the Bücker Bü 131, a German 1930s biplane widely used as a primary trainer aircraft before and during World War II.
-
B.
Klostermann
Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
-
C.
Marloffstein
Marloffstein is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its rural character and proximity to the city of Erlangen.
-
D.
Bischoffen
Bischoffen is a small municipality in the central German state of Hesse, situated in a rural area characterized by forests, hills, and nearby reservoirs.
-
E.
Bonnke
Bonnke is a German surname most prominently associated with Reinhard Bonnke, a well-known Christian evangelist.
- 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: Korfmann Triple: [Manfred Korfmann, familyName, Korfmann]
Generated description
Korfmann is a German surname most notably associated with archaeologist Manfred Korfmann, known for his excavations at the ancient site of Troy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Korfmann Target entity description: Korfmann is a German surname most notably associated with archaeologist Manfred Korfmann, known for his excavations at the ancient site of Troy.
-
A.
Jungmann
Jungmann is the nickname of the Bücker Bü 131, a German 1930s biplane widely used as a primary trainer aircraft before and during World War II.
-
B.
Klostermann
Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
-
C.
Marloffstein
Marloffstein is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its rural character and proximity to the city of Erlangen.
-
D.
Bischoffen
Bischoffen is a small municipality in the central German state of Hesse, situated in a rural area characterized by forests, hills, and nearby reservoirs.
-
E.
Bonnke
Bonnke is a German surname most prominently associated with Reinhard Bonnke, a well-known Christian evangelist.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e4b230819097c8804ee91988ea |
completed | April 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a073b41f34c8190abc737a01bc09973 |
completed | May 15, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_6a073bd8fd108190b4aa79dcdf3c2758 |
completed | May 15, 2026, 3:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073c574c808190b2ae6df5477c27bb |
completed | May 15, 2026, 3:31 p.m. |
Created at: April 10, 2026, 1:39 p.m.