Triple
T15227296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nilsson |
E363907
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Gunilla Nilsson
Gunilla Nilsson is a Swedish former middle-distance runner known for competing internationally during the 1960s and 1970s.
|
E1151467
|
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: Gunilla Nilsson | Statement: [Nilsson, hasNotableBearer, Gunilla Nilsson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunilla Nilsson Context triple: [Nilsson, hasNotableBearer, Gunilla Nilsson]
-
A.
Gunilla Risberg
Gunilla Risberg is a Swedish individual notable enough to be recognized as a bearer of the surname Risberg.
-
B.
Gunilla Bielke
Gunilla Bielke was a Swedish noblewoman who became Queen consort of Sweden through her marriage to King John III in the late 16th century.
-
C.
Birgitta Nilsson
Birgitta Nilsson is a person notable enough to be specifically cited as a bearer of the surname Nilsson.
-
D.
Margareta Wästberg
Margareta Wästberg is known as the spouse of Swedish writer and literary figure Per Wästberg.
-
E.
Gunnel Persson
Gunnel Persson is a Swedish figure known primarily as the former spouse of Sweden’s ex-Prime Minister Göran Persson.
- 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: Gunilla Nilsson Triple: [Nilsson, hasNotableBearer, Gunilla Nilsson]
Generated description
Gunilla Nilsson is a Swedish former middle-distance runner known for competing internationally during the 1960s and 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gunilla Nilsson Target entity description: Gunilla Nilsson is a Swedish former middle-distance runner known for competing internationally during the 1960s and 1970s.
-
A.
Gunilla Risberg
Gunilla Risberg is a Swedish individual notable enough to be recognized as a bearer of the surname Risberg.
-
B.
Gunilla Bielke
Gunilla Bielke was a Swedish noblewoman who became Queen consort of Sweden through her marriage to King John III in the late 16th century.
-
C.
Birgitta Nilsson
Birgitta Nilsson is a person notable enough to be specifically cited as a bearer of the surname Nilsson.
-
D.
Margareta Wästberg
Margareta Wästberg is known as the spouse of Swedish writer and literary figure Per Wästberg.
-
E.
Gunnel Persson
Gunnel Persson is a Swedish figure known primarily as the former spouse of Sweden’s ex-Prime Minister Göran Persson.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078bb32881909927561c6c072546 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01de4ccc8190aeac4a6c1ffc08d9 |
completed | May 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ff038901788190b8e3150dc514194d |
completed | May 9, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff041924e08190a4068d263de94c95 |
completed | May 9, 2026, 9:53 a.m. |
Created at: April 10, 2026, 3:12 a.m.