Triple
T20253507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iffland-Ring |
E498619
|
entity |
| Predicate | notableHolder |
P1918
|
FINISHED |
| Object |
Jens Harzer
Jens Harzer is a renowned German stage and film actor, widely regarded as one of the leading performers in contemporary German-language theater.
|
E1420773
|
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: Jens Harzer | Statement: [Iffland-Ring, notableHolder, Jens Harzer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jens Harzer Context triple: [Iffland-Ring, notableHolder, Jens Harzer]
-
A.
Jens Meyer
Jens Meyer is a German local politician who serves as the mayor of the Bavarian town of Weiden in der Oberpfalz.
-
B.
Jens Matthies
Jens Matthies is a video game director best known for leading the development of the acclaimed first-person shooter Wolfenstein: The New Order.
-
C.
Hannes Jaenicke
Hannes Jaenicke is a German actor and documentary filmmaker known for his roles in film and television as well as his environmental activism.
-
D.
Jens Metzger
Jens Metzger is a German local politician who serves as the mayor of the town of Crailsheim in the state of Baden-Württemberg.
-
E.
Jens Hennersdorf
Jens Hennersdorf is a German local politician who serves as the mayor of the municipality of Burkhardtsdorf in Saxony.
- 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: Jens Harzer Triple: [Iffland-Ring, notableHolder, Jens Harzer]
Generated description
Jens Harzer is a renowned German stage and film actor, widely regarded as one of the leading performers in contemporary German-language theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jens Harzer Target entity description: Jens Harzer is a renowned German stage and film actor, widely regarded as one of the leading performers in contemporary German-language theater.
-
A.
Jens Meyer
Jens Meyer is a German local politician who serves as the mayor of the Bavarian town of Weiden in der Oberpfalz.
-
B.
Jens Matthies
Jens Matthies is a video game director best known for leading the development of the acclaimed first-person shooter Wolfenstein: The New Order.
-
C.
Hannes Jaenicke
Hannes Jaenicke is a German actor and documentary filmmaker known for his roles in film and television as well as his environmental activism.
-
D.
Jens Metzger
Jens Metzger is a German local politician who serves as the mayor of the town of Crailsheim in the state of Baden-Württemberg.
-
E.
Jens Hennersdorf
Jens Hennersdorf is a German local politician who serves as the mayor of the municipality of Burkhardtsdorf in Saxony.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673aa42348190852ae8313f4494ca |
completed | April 20, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0855282a0c8190b6f246521dfbda51 |
completed | May 16, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_6a0855c6bab08190831cc78647de84fc |
completed | May 16, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0856da3e748190866c328a6c61b3d8 |
completed | May 16, 2026, 11:36 a.m. |
Created at: April 11, 2026, 11:41 p.m.