Triple
T18640253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ornithological Biography |
E455665
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Charles Black |
—
|
NE NERFINISHED |
How this triple was built (2 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: Charles Black | Statement: [Ornithological Biography, publisher, Charles Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Black Context triple: [Ornithological Biography, publisher, Charles Black]
-
A.
Charles Black
chosen
Charles Black is a business associate and partner of Adam Black.
-
B.
Charles Black
Charles Black is best known as the husband of Karen Blanche Ziegler.
-
C.
John D. F. Black
John D. F. Black was an American screenwriter and producer best known for his work on influential 1970s film and television projects, including contributions to the crime and science fiction genres.
-
D.
Robert Barker
Robert Barker was a 17th-century English royal printer best known for printing the first edition of the King James Bible.
-
E.
Henry Black
Henry Black was the son of prominent American jurist and U.S. Attorney General Jeremiah Sullivan Black.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fcbe3088190849f60b09d1e7e4b |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:47 a.m.