Triple
T19422907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Haslinger |
E485902
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Haslinger
Haslinger is a German-language surname borne by various notable individuals, including artists and composers.
|
E1375916
|
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: Haslinger | Statement: [Paul Haslinger, familyName, Haslinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haslinger Context triple: [Paul Haslinger, familyName, Haslinger]
-
A.
Haller
Haller is a surname most notably associated with Ernest Haller, an American cinematographer renowned for his work in classic Hollywood films.
-
B.
Rutishauser
Rutishauser is a Swiss surname most notably associated with Heinz Rutishauser, a pioneering mathematician and computer scientist in the field of numerical analysis and early programming languages.
-
C.
Torgler
Torgler is a German-language surname most notably associated with Ernst Torgler, a German politician involved in the Reichstag fire trial.
-
D.
Garbitsch
Garbitsch is the sinister, Goebbels-like propaganda minister in Charlie Chaplin’s 1940 satirical film "The Great Dictator," played by actor Henry Daniell.
-
E.
Langhans
Langhans is a German surname most notably associated with Carl Gotthard Langhans, the architect of Berlin’s Brandenburg Gate.
- 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: Haslinger Triple: [Paul Haslinger, familyName, Haslinger]
Generated description
Haslinger is a German-language surname borne by various notable individuals, including artists and composers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haslinger Target entity description: Haslinger is a German-language surname borne by various notable individuals, including artists and composers.
-
A.
Haller
Haller is a surname most notably associated with Ernest Haller, an American cinematographer renowned for his work in classic Hollywood films.
-
B.
Rutishauser
Rutishauser is a Swiss surname most notably associated with Heinz Rutishauser, a pioneering mathematician and computer scientist in the field of numerical analysis and early programming languages.
-
C.
Torgler
Torgler is a German-language surname most notably associated with Ernst Torgler, a German politician involved in the Reichstag fire trial.
-
D.
Garbitsch
Garbitsch is the sinister, Goebbels-like propaganda minister in Charlie Chaplin’s 1940 satirical film "The Great Dictator," played by actor Henry Daniell.
-
E.
Langhans
Langhans is a German surname most notably associated with Carl Gotthard Langhans, the architect of Berlin’s Brandenburg Gate.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e632169d9c81909a88704c6beb8fe0 |
completed | April 20, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733d1d4148190b7dae069a76e7041 |
completed | May 15, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a0735ce9a348190af1d3f58f1bb26cd |
completed | May 15, 2026, 3:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0736c250708190a6f9ac2364038432 |
completed | May 15, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:37 p.m.