Triple
T9851210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingo |
E239471
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ingo Zamperoni
Ingo Zamperoni is a German journalist and television presenter best known as one of the main anchors of the ARD news program "Tagesthemen."
|
E828762
|
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: Ingo Zamperoni | Statement: [Ingo, hasNotableBearer, Ingo Zamperoni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingo Zamperoni Context triple: [Ingo, hasNotableBearer, Ingo Zamperoni]
-
A.
Dario Hübner
Dario Hübner is a former Italian striker renowned for his prolific goal-scoring in Serie A well into his thirties, particularly with provincial clubs.
-
B.
Uli Meyer
Uli Meyer is a German-born animator and illustrator known for his character design and animation work in film and advertising.
-
C.
Bruno Beger
Bruno Beger was a German SS anthropologist and war criminal involved in Nazi racial research and atrocities during World War II.
-
D.
Jörg Winger
Jörg Winger is a German television producer and writer best known as the co-creator of the acclaimed Cold War spy drama series *Deutschland 83/86/89*.
-
E.
Manfred Morari
Manfred Morari is a prominent control systems engineer known for his pioneering work in model predictive control and contributions to robust and constrained control theory.
- 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: Ingo Zamperoni Triple: [Ingo, hasNotableBearer, Ingo Zamperoni]
Generated description
Ingo Zamperoni is a German journalist and television presenter best known as one of the main anchors of the ARD news program "Tagesthemen."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ingo Zamperoni Target entity description: Ingo Zamperoni is a German journalist and television presenter best known as one of the main anchors of the ARD news program "Tagesthemen."
-
A.
Dario Hübner
Dario Hübner is a former Italian striker renowned for his prolific goal-scoring in Serie A well into his thirties, particularly with provincial clubs.
-
B.
Uli Meyer
Uli Meyer is a German-born animator and illustrator known for his character design and animation work in film and advertising.
-
C.
Bruno Beger
Bruno Beger was a German SS anthropologist and war criminal involved in Nazi racial research and atrocities during World War II.
-
D.
Jörg Winger
Jörg Winger is a German television producer and writer best known as the co-creator of the acclaimed Cold War spy drama series *Deutschland 83/86/89*.
-
E.
Manfred Morari
Manfred Morari is a prominent control systems engineer known for his pioneering work in model predictive control and contributions to robust and constrained control theory.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3742fe48190bae6e6d828a9cc0d |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d511e348190aab23a45048ea7b3 |
completed | April 5, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69d20e9f480c819086b0165aa77ddb06 |
completed | April 5, 2026, 7:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d20fa9cab88190bbddcf18b49f8172 |
completed | April 5, 2026, 7:30 a.m. |
Created at: March 30, 2026, 8:34 p.m.