Triple
T18136202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Per Gunnar Hansson |
E434142
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
Hansson family
The Hansson family is a familial lineage or household to which Per Gunnar Hansson belongs.
|
E1307374
|
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: Hansson family | Statement: [Per Gunnar Hansson, memberOf, Hansson family]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hansson family Context triple: [Per Gunnar Hansson, memberOf, Hansson family]
-
A.
Hansen family
The Hansen family is the human family into which Annika Hansen—later known as Seven of Nine from Star Trek: Voyager—was born.
-
B.
Hedlund family
The Hedlund family is a notable American family best known for including actor Garrett Hedlund and his son Rhodes Robert Hedlund.
-
C.
Stenbock family
The Stenbock family is a prominent Swedish noble lineage that produced influential statesmen and aristocrats, including a queen consort of Sweden.
-
D.
Söderberg family
The Söderberg family is a prominent Swedish family known for its significant philanthropic contributions, particularly in supporting research, education, and culture.
-
E.
Annan family
The Annan family is a prominent Ghanaian family known for producing influential figures in diplomacy, politics, and public service.
- 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: Hansson family Triple: [Per Gunnar Hansson, memberOf, Hansson family]
Generated description
The Hansson family is a familial lineage or household to which Per Gunnar Hansson belongs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hansson family Target entity description: The Hansson family is a familial lineage or household to which Per Gunnar Hansson belongs.
-
A.
Hansen family
The Hansen family is the human family into which Annika Hansen—later known as Seven of Nine from Star Trek: Voyager—was born.
-
B.
Hedlund family
The Hedlund family is a notable American family best known for including actor Garrett Hedlund and his son Rhodes Robert Hedlund.
-
C.
Stenbock family
The Stenbock family is a prominent Swedish noble lineage that produced influential statesmen and aristocrats, including a queen consort of Sweden.
-
D.
Söderberg family
The Söderberg family is a prominent Swedish family known for its significant philanthropic contributions, particularly in supporting research, education, and culture.
-
E.
Annan family
The Annan family is a prominent Ghanaian family known for producing influential figures in diplomacy, politics, and public service.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de07b4b4819085fe80beb7addfd0 |
completed | April 19, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03854b5f0c8190b98070b06f67a766 |
completed | May 12, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_6a03861898948190b3ada048d9ea274c |
completed | May 12, 2026, 7:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0386bb53b88190b5cc7e747a9da903 |
completed | May 12, 2026, 7:59 p.m. |
Created at: April 10, 2026, 10:29 a.m.