Triple
T12484184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Van Vechten |
E298388
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Carl
Carl is the given name of Carl Van Vechten, an American writer, photographer, and prominent patron of the Harlem Renaissance.
|
E987736
|
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 Van Vechten, givenName, Carl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Context triple: [Carl Van Vechten, givenName, Carl]
-
A.
Carl
Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
-
B.
Carl
Carl is a central character in the British comedy film "The Boat That Rocked," portrayed as a young man who joins a pirate radio ship in the 1960s and comes of age amid its rebellious DJs and rock music culture.
-
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 the given name of Carl Schorske, a prominent American cultural and intellectual historian known for his influential work on fin-de-siècle Vienna.
-
E.
Carl
Carl is the given name of Carl Gotthard Langhans, the Prussian architect best known for designing Berlin’s Brandenburg Gate.
- 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 Van Vechten, givenName, Carl]
Generated description
Carl is the given name of Carl Van Vechten, an American writer, photographer, and prominent patron of the Harlem Renaissance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carl Target entity description: Carl is the given name of Carl Van Vechten, an American writer, photographer, and prominent patron of the Harlem Renaissance.
-
A.
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.
-
B.
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.
-
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 Carl Ferdinand Howard Henry, a prominent American evangelical theologian and author.
-
E.
Carl
Carl is the given name of Carl Bernstein, the American investigative journalist renowned for his reporting on the Watergate scandal.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94ddf0b6c8190aff4fe267d8f6efe |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b9aaf9c819098e8f8ba40c73363 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64d15a97c81909046190f0d0fd986 |
completed | May 2, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64e6d311c8190b851b89e394165d0 |
completed | May 2, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:56 p.m.