Triple
T4478242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Jonas Love Almqvist |
E100063
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Carl
Carl is the given name of Carl Jonas Love Almqvist, a notable 19th-century Swedish romantic writer, poet, and social critic.
|
E441805
|
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: Carl | Statement: [Carl Jonas Love Almqvist, givenName, Carl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Context triple: [Carl Jonas Love Almqvist, givenName, Carl]
-
A.
Carl
Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
-
B.
Carl
Carl is the given name of the 19th-century German mathematician Carl Gustav Jacob Jacobi, renowned for his foundational work in elliptic functions and other areas of mathematics.
-
C.
Carl
Carl is the given name of the influential American microbiologist Carl Woese, known for defining the Archaea domain of life.
-
D.
Carl
Carl is a supporting character in the classic film "Casablanca," working at Rick Blaine's nightclub, Rick's Café Américain.
-
E.
Carl
Carl is the given name of Carl von Martius, a notable 19th-century German botanist and explorer known for his extensive studies of Brazilian flora.
- 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: Carl Triple: [Carl Jonas Love Almqvist, givenName, Carl]
Generated description
Carl is the given name of Carl Jonas Love Almqvist, a notable 19th-century Swedish romantic writer, poet, and social critic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carl Target entity description: Carl is the given name of Carl Jonas Love Almqvist, a notable 19th-century Swedish romantic writer, poet, and social critic.
-
A.
Carl
Carl is the given name of Carl von Martius, a notable 19th-century German botanist and explorer known for his extensive studies of Brazilian flora.
-
B.
Carl
Carl is the given name of Carl Philipp Emanuel Bach, an influential 18th-century German composer and musician of the Classical period.
-
C.
Carl
Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
-
D.
Carl
Carl is the given name of the American poet, writer, and editor Carl Sandburg, known for his vivid portrayals of American life and his biographies of Abraham Lincoln.
-
E.
Carl
Carl is the given name of Carl Schorske, a prominent American cultural and intellectual historian known for his influential work on fin-de-siècle Vienna.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356d9d1d08190b3f9356eefd237dc |
completed | March 13, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b62888ea508190a052c0b2edee7fca |
completed | March 15, 2026, 3:33 a.m. |
| NEDg | Description generation | batch_69b6295721d881908d49ce1944e0ed17 |
completed | March 15, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b62a3e9d1c8190a613726d45622406 |
completed | March 15, 2026, 3:40 a.m. |
Created at: March 12, 2026, 11:35 p.m.