Triple
T10217540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Truscott |
E242484
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Norman Truscott |
E242484
|
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: Norman Truscott | Statement: [Norman Truscott, name, Norman Truscott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Truscott Context triple: [Norman Truscott, name, Norman Truscott]
-
A.
Norman Truscott
chosen
Norman Truscott is the bumbling, mild-mannered protagonist of the 1959 British comedy film "Follow a Star," portrayed by comedian Norman Wisdom.
-
B.
Frank M. Andrews
Frank M. Andrews was a pioneering U.S. Army Air Corps general who played a key role in developing American strategic air power before and during World War II.
-
C.
Herbert Browne
Herbert Browne was an architect known for designing notable buildings in Washington, D.C., including the historic Anderson House.
-
D.
William H. Tooker
William H. Tooker was an American stage and silent film actor active in the early 20th century.
-
E.
George E. Chamberlain
George E. Chamberlain was an American Democratic politician from Oregon who served as both governor and U.S. senator, noted for his influential role in early 20th-century military and defense legislation.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa6e544c8190961cdd7f1fbe24e6 |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbac97ce2481908ea11d6290a9bf2f |
completed | April 12, 2026, 2:30 p.m. |
Created at: April 6, 2026, 11:07 a.m.