Triple
T11565344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Fukuyama |
E274236
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Laura Holmgren
Laura Holmgren is the wife of American political scientist and author Francis Fukuyama.
|
E935336
|
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: Laura Holmgren | Statement: [Francis Fukuyama, spouse, Laura Holmgren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Holmgren Context triple: [Francis Fukuyama, spouse, Laura Holmgren]
-
A.
Anna Wahlgren
Anna Wahlgren was a Swedish author and influential parenting advisor best known for her controversial childcare books and public role in debates on child-rearing.
-
B.
Inga Swenson
Inga Swenson was an American actress known for her acclaimed stage and screen performances, including notable roles on Broadway and in film and television.
-
C.
Karin Hansson
Karin Hansson is known primarily as the daughter of Swedish Prime Minister Per Albin Hansson.
-
D.
Ellen Lundström
Ellen Lundström was the first wife of renowned Swedish film director Ingmar Bergman, with whom he had several children before their divorce.
-
E.
Sari Lindblom
Sari Lindblom is a Finnish academic and higher education leader who serves as the rector of the University of Helsinki.
- 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: Laura Holmgren Triple: [Francis Fukuyama, spouse, Laura Holmgren]
Generated description
Laura Holmgren is the wife of American political scientist and author Francis Fukuyama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Holmgren Target entity description: Laura Holmgren is the wife of American political scientist and author Francis Fukuyama.
-
A.
Anna Wahlgren
Anna Wahlgren was a Swedish author and influential parenting advisor best known for her controversial childcare books and public role in debates on child-rearing.
-
B.
Inga Swenson
Inga Swenson was an American actress known for her acclaimed stage and screen performances, including notable roles on Broadway and in film and television.
-
C.
Karin Hansson
Karin Hansson is known primarily as the daughter of Swedish Prime Minister Per Albin Hansson.
-
D.
Ellen Lundström
Ellen Lundström was the first wife of renowned Swedish film director Ingmar Bergman, with whom he had several children before their divorce.
-
E.
Sari Lindblom
Sari Lindblom is a Finnish academic and higher education leader who serves as the rector of the University of Helsinki.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd321f88190a57ecaf079fbbc3f |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e713bcc0048190bec14ac4ab84d51d |
completed | April 21, 2026, 6:05 a.m. |
| NEDg | Description generation | batch_69e720f4015c81909ba7973c3e781985 |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e75a7a04c88190bb8f3dd3f3e435ef |
completed | April 21, 2026, 11:07 a.m. |
Created at: April 8, 2026, 9:37 p.m.