Triple
T4588836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Castle |
E103433
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Amalia
Amalia is a character in Franz Kafka’s unfinished novel "The Castle," known for her defiant act that brings social ostracism upon her family.
|
E455474
|
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: Amalia | Statement: [The Castle, hasCharacter, Amalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amalia Context triple: [The Castle, hasCharacter, Amalia]
-
A.
Amalia
Amalia is the Dutch crown princess, heir apparent to the throne of the Kingdom of the Netherlands.
-
B.
Amalie
Amalie is the given first name of the pioneering German mathematician Emmy Noether, renowned for her foundational contributions to abstract algebra and theoretical physics.
-
C.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
D.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
-
E.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
- 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: Amalia Triple: [The Castle, hasCharacter, Amalia]
Generated description
Amalia is a character in Franz Kafka’s unfinished novel "The Castle," known for her defiant act that brings social ostracism upon her family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amalia Target entity description: Amalia is a character in Franz Kafka’s unfinished novel "The Castle," known for her defiant act that brings social ostracism upon her family.
-
A.
Amalia
Amalia is the Dutch crown princess, heir apparent to the throne of the Kingdom of the Netherlands.
-
B.
Amalie
Amalie is the given first name of the pioneering German mathematician Emmy Noether, renowned for her foundational contributions to abstract algebra and theoretical physics.
-
C.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
D.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
-
E.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd592115fc8190b1aee1d8bbaf1ee3 |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde0b9f700819082b0e5171132d0f3 |
completed | March 21, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_69bde31735a481909d005e6c44e2f114 |
completed | March 21, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bde6d185088190b94580f53038d883 |
completed | March 21, 2026, 12:31 a.m. |
Created at: March 20, 2026, 1:11 p.m.