Triple
T5148188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruno Ganz |
E116125
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ganz
Ganz is a German-language surname most notably borne by Swiss actor Bruno Ganz, renowned for his roles in films such as "Wings of Desire" and "Downfall."
|
E497480
|
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: Ganz | Statement: [Bruno Ganz, familyName, Ganz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ganz Context triple: [Bruno Ganz, familyName, Ganz]
-
A.
Gunten
Gunten is a small lakeside village in the Swiss canton of Bern, known for its scenic location on the shores of Lake Thun in the Bernese Oberland.
-
B.
Gonda
Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
-
C.
Gsell
Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
-
D.
Geva
Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
-
E.
Gestel
Gestel is a district in the Dutch city of Eindhoven, located in the province of North Brabant.
- 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: Ganz Triple: [Bruno Ganz, familyName, Ganz]
Generated description
Ganz is a German-language surname most notably borne by Swiss actor Bruno Ganz, renowned for his roles in films such as "Wings of Desire" and "Downfall."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ganz Target entity description: Ganz is a German-language surname most notably borne by Swiss actor Bruno Ganz, renowned for his roles in films such as "Wings of Desire" and "Downfall."
-
A.
Gunten
Gunten is a small lakeside village in the Swiss canton of Bern, known for its scenic location on the shores of Lake Thun in the Bernese Oberland.
-
B.
Gonda
Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
-
C.
Gsell
Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
-
D.
Geva
Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
-
E.
Gestel
Gestel is a district in the Dutch city of Eindhoven, located in the province of North Brabant.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78b17028819080568715df8c13eb |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becffa6a2881908f4b1ef85bdcce30 |
completed | March 21, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69bed09cf66481909f7aa65de3fce54d |
completed | March 21, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bed136a790819083ec5b8ae923fa3e |
completed | March 21, 2026, 5:11 p.m. |
Created at: March 20, 2026, 1:43 p.m.