Triple
T2270004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Alcock |
E50633
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Vickers |
E44162
|
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: Vickers | Statement: [John Alcock, employer, Vickers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vickers Context triple: [John Alcock, employer, Vickers]
-
A.
Vickers-Armstrongs
chosen
Vickers-Armstrongs was a major British engineering and armaments company best known for producing military aircraft, ships, and tanks during the first half of the 20th century.
-
B.
Armstrong Whitworth
Armstrong Whitworth was a major British engineering and armaments manufacturing company prominent in the late 19th and early 20th centuries, known for producing ships, aircraft, and heavy weaponry.
-
C.
Armstrong Siddeley
Armstrong Siddeley was a British engineering company best known for manufacturing luxury automobiles and aircraft engines in the early to mid-20th century.
-
D.
Avro
Avro is a row-oriented, schema-based data serialization format commonly used in big data processing and storage systems.
-
E.
Avro
Avro was a British aircraft manufacturer best known for producing iconic military aircraft such as the Avro Lancaster bomber during the 20th century.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1be90708190b8878c393dd2a42d |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71d97a108190a26ffd20fac91a7e |
completed | March 9, 2026, 7:08 a.m. |
Created at: March 4, 2026, 7:48 p.m.