Triple
T942365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jens Stoltenberg |
E20334
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Jens
Jens is a masculine given name commonly used in Scandinavian and German-speaking countries, equivalent to "John" in English.
|
E126261
|
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: Jens | Statement: [Jens Stoltenberg, givenName, Jens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jens Context triple: [Jens Stoltenberg, givenName, Jens]
-
A.
Johan
Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
-
B.
Niels
Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
-
C.
Johann
Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
-
D.
Jonas Lie
Jonas Lie was a prominent Norwegian novelist and short story writer of the late 19th century, known for his realistic depictions of Norwegian society and coastal life.
-
E.
Lars Jensen
Lars Jensen is an entrepreneur best known as a co-founder of the online advertising technology company DoubleClick.
- 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: Jens Triple: [Jens Stoltenberg, givenName, Jens]
Generated description
Jens is a masculine given name commonly used in Scandinavian and German-speaking countries, equivalent to "John" in English.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jens Target entity description: Jens is a masculine given name commonly used in Scandinavian and German-speaking countries, equivalent to "John" in English.
-
A.
Johan
Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
-
B.
Niels
Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
-
C.
Johann
Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
-
D.
Jonas Lie
Jonas Lie was a prominent Norwegian novelist and short story writer of the late 19th century, known for his realistic depictions of Norwegian society and coastal life.
-
E.
Lars Jensen
Lars Jensen is an entrepreneur best known as a co-founder of the online advertising technology company DoubleClick.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a1a4888190997adf56eb761431 |
completed | March 1, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c017e148190b368419cff3872f6 |
completed | March 7, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69ac4c6e67cc8190b6c491c099771fb0 |
completed | March 7, 2026, 4:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac4cfeb3c48190950c8989f49f48d8 |
completed | March 7, 2026, 4:06 p.m. |
Created at: March 1, 2026, 7:40 p.m.