Triple
T874960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klaus Schwab |
E18896
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Klaus
Klaus is a masculine given name of German origin commonly used in German-speaking countries.
|
E103973
|
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: Klaus | Statement: [Klaus Schwab, givenName, Klaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klaus Context triple: [Klaus Schwab, givenName, Klaus]
-
A.
Luca
Luca is a 2021 Pixar animated film set on the Italian Riviera that follows a young sea monster experiencing a transformative summer on land.
-
B.
Coco
Coco is a 2017 Pixar animated film that follows a young Mexican boy’s journey through the Land of the Dead as he uncovers his family’s history and celebrates Día de los Muertos.
-
C.
Buddy the Elf
Buddy the Elf is the exuberant, childlike human raised by elves in the North Pole who journeys to New York City in the Christmas comedy film "Elf."
-
D.
A Monster Calls
A Monster Calls is a dark fantasy drama film that blends emotional coming-of-age storytelling with supernatural elements as a young boy copes with his mother's terminal illness through visits from a giant tree-like monster.
-
E.
Let the Right One In
Let the Right One In is a critically acclaimed 2008 Swedish romantic horror film about the bond between a bullied boy and a mysterious child vampire.
- 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: Klaus Triple: [Klaus Schwab, givenName, Klaus]
Generated description
Klaus is a masculine given name of German origin commonly used in German-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klaus Target entity description: Klaus is a masculine given name of German origin commonly used in German-speaking countries.
-
A.
Luca
Luca is a 2021 Pixar animated film set on the Italian Riviera that follows a young sea monster experiencing a transformative summer on land.
-
B.
Coco
Coco is a 2017 Pixar animated film that follows a young Mexican boy’s journey through the Land of the Dead as he uncovers his family’s history and celebrates Día de los Muertos.
-
C.
Buddy the Elf
Buddy the Elf is the exuberant, childlike human raised by elves in the North Pole who journeys to New York City in the Christmas comedy film "Elf."
-
D.
A Monster Calls
A Monster Calls is a dark fantasy drama film that blends emotional coming-of-age storytelling with supernatural elements as a young boy copes with his mother's terminal illness through visits from a giant tree-like monster.
-
E.
Let the Right One In
Let the Right One In is a critically acclaimed 2008 Swedish romantic horror film about the bond between a bullied boy and a mysterious child vampire.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acae12948190923d31966c26a130 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b8520a008190a15bdb93e8ce2438 |
completed | March 4, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a7b9774df881908fbd4d1b54442cdc |
completed | March 4, 2026, 4:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7ba46a2ec8190892404cb1f259cf0 |
completed | March 4, 2026, 4:51 a.m. |
Created at: March 1, 2026, 7:39 p.m.