Triple
T10972218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Famke Janssen |
E259268
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Famke
Famke is a feminine given name most widely recognized through Dutch actress and former fashion model Famke Janssen.
|
E897540
|
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: Famke | Statement: [Famke Janssen, givenName, Famke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Famke Context triple: [Famke Janssen, givenName, Famke]
-
A.
Femke
Femke is a Dutch feminine given name, notably borne by politician Femke Halsema, the mayor of Amsterdam.
-
B.
Anouk
Anouk is a Dutch singer-songwriter known for her powerful rock vocals and numerous chart-topping hits in the Netherlands.
-
C.
Carice
Carice is a Dutch given name best known internationally through actress Carice van Houten.
-
D.
Anna Feore
Anna Feore is a Canadian volleyball player who has represented Canada’s women’s national team in international competition.
-
E.
Marike
Marike is a feminine given name of Dutch and Afrikaans origin, commonly used in the Netherlands and South Africa.
- 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: Famke Triple: [Famke Janssen, givenName, Famke]
Generated description
Famke is a feminine given name most widely recognized through Dutch actress and former fashion model Famke Janssen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Famke Target entity description: Famke is a feminine given name most widely recognized through Dutch actress and former fashion model Famke Janssen.
-
A.
Femke
Femke is a Dutch feminine given name, notably borne by politician Femke Halsema, the mayor of Amsterdam.
-
B.
Anouk
Anouk is a Dutch singer-songwriter known for her powerful rock vocals and numerous chart-topping hits in the Netherlands.
-
C.
Carice
Carice is a Dutch given name best known internationally through actress Carice van Houten.
-
D.
Anna Feore
Anna Feore is a Canadian volleyball player who has represented Canada’s women’s national team in international competition.
-
E.
Marike
Marike is a feminine given name of Dutch and Afrikaans origin, commonly used in the Netherlands and South Africa.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719b5edc81908c1019f81e78bd2e |
completed | April 9, 2026, 9:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7a0b3dc819084fbda3227caf5b5 |
completed | April 18, 2026, 1 a.m. |
| NEDg | Description generation | batch_69e2ff1ffb8c8190ba97f3c2e3c8c601 |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3261cc4f48190ba0e5645f37cd4b5 |
completed | April 18, 2026, 6:35 a.m. |
Created at: April 8, 2026, 9:24 p.m.