Triple
T91641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Hollein |
E1840
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hollein
Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
|
E13330
|
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: Hollein | Statement: [Max Hollein, familyName, Hollein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hollein Context triple: [Max Hollein, familyName, Hollein]
-
A.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
B.
Ngäbere
Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
-
C.
Molloy Deep
Molloy Deep is the deepest known part of the Arctic Ocean, located in the Fram Strait between Greenland and Svalbard.
-
D.
Tulle
Tulle is a historic town in central France, known as the capital of the Corrèze department in the Nouvelle-Aquitaine region.
-
E.
Yma Sumac
Yma Sumac was a renowned Peruvian soprano celebrated for her extraordinary vocal range and exoticized "Incan princess" persona in mid-20th-century popular and classical music.
- 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: Hollein Triple: [Max Hollein, familyName, Hollein]
Generated description
Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hollein Target entity description: Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
-
A.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
B.
Ngäbere
Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
-
C.
Molloy Deep
Molloy Deep is the deepest known part of the Arctic Ocean, located in the Fram Strait between Greenland and Svalbard.
-
D.
Tulle
Tulle is a historic town in central France, known as the capital of the Corrèze department in the Nouvelle-Aquitaine region.
-
E.
Yma Sumac
Yma Sumac was a renowned Peruvian soprano celebrated for her extraordinary vocal range and exoticized "Incan princess" persona in mid-20th-century popular and classical music.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24faa6d608190920c8fc144e85e21 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2981ed378819099ef3fbff2236a94 |
completed | Feb. 28, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69a298822e7c8190b37a31a9cc19bc54 |
completed | Feb. 28, 2026, 7:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a298f38e4881908210642539f15378 |
completed | Feb. 28, 2026, 7:27 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.