Triple
T1495178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Søren Kierkegaard |
E29669
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Søren
Søren is a masculine given name of Scandinavian origin, most famously borne by the Danish philosopher Søren Kierkegaard.
|
E182184
|
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: Søren | Statement: [Søren Kierkegaard, givenName, Søren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Søren Context triple: [Søren Kierkegaard, givenName, Søren]
-
A.
Henrik
Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
-
B.
Morten
Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
-
C.
Niels
Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
-
D.
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.
-
E.
Poul
Poul is a masculine given name, primarily used in Danish and other Scandinavian contexts, cognate with the name Paul.
- 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: Søren Triple: [Søren Kierkegaard, givenName, Søren]
Generated description
Søren is a masculine given name of Scandinavian origin, most famously borne by the Danish philosopher Søren Kierkegaard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Søren Target entity description: Søren is a masculine given name of Scandinavian origin, most famously borne by the Danish philosopher Søren Kierkegaard.
-
A.
Henrik
Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
-
B.
Morten
Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
-
C.
Niels
Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
-
D.
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.
-
E.
Poul
Poul is a masculine given name, primarily used in Danish and other Scandinavian contexts, cognate with the name Paul.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c78c9481909b210b845aa6e9df |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51a514908190b782eb1ca98d5b4c |
completed | March 8, 2026, 10:38 a.m. |
| NEDg | Description generation | batch_69ad525e5c908190bad4fc58342c3ef2 |
completed | March 8, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad52bfdbec81908f7240c46ce11888 |
completed | March 8, 2026, 10:43 a.m. |
Created at: March 1, 2026, 8:12 p.m.