Triple
T15374475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carry Nation |
E367631
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Carry Amelia Nation
Carry Amelia Nation was a radical American temperance activist famous for attacking saloons with a hatchet in the early 20th century.
|
E1153515
|
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: Carry Amelia Nation | Statement: [Carry Nation, fullName, Carry Amelia Nation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carry Amelia Nation Context triple: [Carry Nation, fullName, Carry Amelia Nation]
-
A.
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.
-
B.
Amalia
Amalia is a pioneering 1914 Argentine silent film widely regarded as the first feature-length production in the history of Argentine cinema.
-
C.
Amalia
Amalia is a novel by Finnish writer Sylvi Kekkonen, known for its introspective portrayal of women’s inner lives in mid-20th-century Finland.
-
D.
Amalia
Amalia is the Dutch crown princess, heir apparent to the throne of the Kingdom of the Netherlands.
-
E.
Amalia
Amalia is a feminine given name of Latin and Germanic origin, often associated with meanings related to work, industriousness, or striving.
- 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: Carry Amelia Nation Triple: [Carry Nation, fullName, Carry Amelia Nation]
Generated description
Carry Amelia Nation was a radical American temperance activist famous for attacking saloons with a hatchet in the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carry Amelia Nation Target entity description: Carry Amelia Nation was a radical American temperance activist famous for attacking saloons with a hatchet in the early 20th century.
-
A.
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.
-
B.
Amalia
Amalia is a pioneering 1914 Argentine silent film widely regarded as the first feature-length production in the history of Argentine cinema.
-
C.
Amalia
Amalia is the Dutch crown princess, heir apparent to the throne of the Kingdom of the Netherlands.
-
D.
Amalia
Amalia is a novel by Finnish writer Sylvi Kekkonen, known for its introspective portrayal of women’s inner lives in mid-20th-century Finland.
-
E.
Amalia
Amalia is a feminine given name of Latin and Germanic origin, often associated with meanings related to work, industriousness, or striving.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5d6f808190b0a4cdb35dc89e69 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b5502508190bd39b6d81ee57cc0 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0f400ec08190961c63f957efe107 |
completed | May 9, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0fbef36081908a0f6317a32f9c28 |
completed | May 9, 2026, 10:43 a.m. |
Created at: April 10, 2026, 3:18 a.m.