Triple
T8626333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Karina |
E204288
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Hanne
Hanne is the birth name of Anna Karina, the acclaimed Danish-French actress and muse of the French New Wave cinema.
|
E747616
|
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: Hanne | Statement: [Anna Karina, givenName, Hanne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanne Context triple: [Anna Karina, givenName, Hanne]
-
A.
Hanne
Hanne is a soprano soloist role representing a young country girl in Joseph Haydn’s oratorio "The Seasons."
-
B.
Maddalene
Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
-
C.
Birgitte
Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
-
D.
Hannah
Hannah is a biblical figure in the Book of 1 Samuel known for her fervent prayer for a child and as the mother of the prophet Samuel.
-
E.
Hannah
Hannah is a person associated in some way with the city of Santa Ana, California.
- 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: Hanne Triple: [Anna Karina, givenName, Hanne]
Generated description
Hanne is the birth name of Anna Karina, the acclaimed Danish-French actress and muse of the French New Wave cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanne Target entity description: Hanne is the birth name of Anna Karina, the acclaimed Danish-French actress and muse of the French New Wave cinema.
-
A.
Hanne
Hanne is a soprano soloist role representing a young country girl in Joseph Haydn’s oratorio "The Seasons."
-
B.
Maddalene
Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
-
C.
Birgitte
Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
-
D.
Hannah
Hannah is a compassionate Jewish laundress and the love interest of the Jewish Barber in Charlie Chaplin’s 1940 satirical film "The Great Dictator."
-
E.
Hannah
Hannah is a key survivor character in the British post-apocalyptic horror film "28 Days Later," known for her resilience and resourcefulness amid a rage virus outbreak in London.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc472b8fa481909f52f83ea210483e |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbf03c688190a989f16675f6e8a6 |
completed | April 2, 2026, 6:56 p.m. |
| NEDg | Description generation | batch_69cebdd3ae908190bc4108b766585cbc |
completed | April 2, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebf1825008190a97cd2df10f8e406 |
completed | April 2, 2026, 7:10 p.m. |
Created at: March 30, 2026, 6:26 p.m.