Triple
T21055579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T. Cadell |
E518701
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Thomas Cadell |
E858695
|
NE FINISHED |
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: Thomas Cadell | Statement: [T. Cadell, name, Thomas Cadell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Cadell Context triple: [T. Cadell, name, Thomas Cadell]
-
A.
William Cadell
William Cadell was an 18th-century Scottish industrialist and ironmaster who played a key role in the early development of Scotland’s iron industry.
-
B.
Thomas Cadell Jr.
chosen
Thomas Cadell Jr. was a prominent late 18th- and early 19th-century London bookseller and publisher known for issuing works by leading authors of his time.
-
C.
Robert Cadell
Robert Cadell was a 19th-century Scottish publisher best known for his close collaboration with Sir Walter Scott and for issuing many of Scott’s major works.
-
D.
Joseph Cawthorn
Joseph Cawthorn was an American stage and film actor of the early 20th century, known for his character roles in both Broadway productions and Hollywood movies.
-
E.
Richard Suckle
Richard Suckle is an American film producer known for his work on major studio projects, including the DC superhero film "Wonder Woman" (2017).
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7edb8481908e4dc7573f7fa98f |
completed | April 21, 2026, 4:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a095068e4588190982742a18fc993a6 |
completed | May 17, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:37 p.m.