Triple
T2008873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Out of Africa |
E43646
|
entity |
| Predicate | basedOnAuthor |
P2806
|
FINISHED |
| Object |
Karen Blixen
Karen Blixen, also known by her pen name Isak Dinesen, was a Danish author renowned for her memoirs and stories set in colonial Kenya, most famously "Out of Africa."
|
E226081
|
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: Karen Blixen | Statement: [Out of Africa, basedOnAuthor, Karen Blixen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Blixen Context triple: [Out of Africa, basedOnAuthor, Karen Blixen]
-
A.
Birgitta Dahl
Birgitta Dahl is a Swedish Social Democratic politician who served as Speaker of the Riksdag and was a prominent figure in Sweden’s late 20th-century political landscape.
-
B.
Sigrid Undset
Sigrid Undset was a Norwegian novelist and Nobel Prize in Literature laureate best known for her medieval trilogy "Kristin Lavransdatter."
-
C.
Frances Kuper
Frances Kuper is known as a former spouse of investigative journalist and author Bob Woodward.
-
D.
Astrid Lindley
Astrid Lindley is known as the wife of late Pro Football Hall of Famer and broadcaster Frank Gifford.
-
E.
Elisabeth Mann Borgese
Elisabeth Mann Borgese was a German-born writer and pioneering advocate for international ocean governance and the law of the sea.
- 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: Karen Blixen Triple: [Out of Africa, basedOnAuthor, Karen Blixen]
Generated description
Karen Blixen, also known by her pen name Isak Dinesen, was a Danish author renowned for her memoirs and stories set in colonial Kenya, most famously "Out of Africa."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karen Blixen Target entity description: Karen Blixen, also known by her pen name Isak Dinesen, was a Danish author renowned for her memoirs and stories set in colonial Kenya, most famously "Out of Africa."
-
A.
Birgitta Dahl
Birgitta Dahl is a Swedish Social Democratic politician who served as Speaker of the Riksdag and was a prominent figure in Sweden’s late 20th-century political landscape.
-
B.
Sigrid Undset
Sigrid Undset was a Norwegian novelist and Nobel Prize in Literature laureate best known for her medieval trilogy "Kristin Lavransdatter."
-
C.
Frances Kuper
Frances Kuper is known as a former spouse of investigative journalist and author Bob Woodward.
-
D.
Astrid Lindley
Astrid Lindley is known as the wife of late Pro Football Hall of Famer and broadcaster Frank Gifford.
-
E.
Elisabeth Mann Borgese
Elisabeth Mann Borgese was a German-born writer and pioneering advocate for international ocean governance and the law of the sea.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb89be08c81909eb5ea672ea46b2b |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ae395a08190abf2077ad7a975ba |
completed | March 8, 2026, 11:48 p.m. |
| NEDg | Description generation | batch_69ae0bb8b34c81908f817bb1fbcb1873 |
completed | March 8, 2026, 11:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0c20aaf48190852334f9c76d0d18 |
completed | March 8, 2026, 11:54 p.m. |
Created at: March 4, 2026, 7:37 p.m.