Triple
T19990465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Tingwell |
E494047
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Charles Tingwell |
—
|
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 Tingwell | Statement: [Charles Tingwell, name, Charles Tingwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Tingwell Context triple: [Charles Tingwell, name, Charles Tingwell]
-
A.
Charles Tingwell
chosen
Charles Tingwell was an Australian actor and radio personality known for his prolific film and television career, including prominent roles in classic Australian productions.
-
B.
Frederick Gibberd
Frederick Gibberd was a prominent 20th-century British architect and town planner known for his modernist designs and influential post-war urban planning projects.
-
C.
Robert Luce
Robert Luce was an American politician and author who served as a U.S. Representative from Massachusetts in the early 20th century.
-
D.
John Holland
John Holland was a pioneering American scientist known as the father of genetic algorithms and a key figure in the development of complex adaptive systems theory.
-
E.
John Holland
John Holland was an American actor known for his supporting roles in mid-20th-century film and television productions.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fdecf108190a5b215fd25bc4dda |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.