Triple
T7408462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avro Lancaster |
E170938
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object | Roy Chadwick |
E232681
|
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: Roy Chadwick | Statement: [Avro Lancaster, designedBy, Roy Chadwick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy Chadwick Context triple: [Avro Lancaster, designedBy, Roy Chadwick]
-
A.
Roy Chadwick
chosen
Roy Chadwick was a British aircraft designer best known for creating several iconic World War II bombers, including the Avro Lancaster.
-
B.
Roger Ward
Roger Ward is an Australian actor best known for his role as the tough police officer Fifi Macaffee in the 1979 action film "Mad Max."
-
C.
Nigel Birch
Nigel Birch was a British Conservative politician and government minister who held several senior posts in the mid-20th century, including roles in economic and defense-related departments.
-
D.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
E.
Steven Waddington
Steven Waddington is a British actor known for his roles in historical and adventure films and television dramas.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f29acf588190a7c4056bdc4f3ffc |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8e56e62d48190b0e25464ebffe148 |
completed | March 29, 2026, 8:40 a.m. |
Created at: March 27, 2026, 3:10 p.m.