Triple
T9526015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnes Wallis |
E229761
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wallis |
E171833
|
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: Wallis | Statement: [Barnes Wallis, familyName, Wallis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallis Context triple: [Barnes Wallis, familyName, Wallis]
-
A.
Wallis
chosen
Wallis is a given name and surname used in English-speaking countries, often considered a variant of Wallace.
-
B.
Wallisellen
Wallisellen is a municipality in the canton of Zürich, Switzerland, known as a residential and commercial suburb on the outskirts of the city of Zürich.
-
C.
Wallis Warfield
Wallis Warfield, later known as Wallis Simpson, was an American socialite whose relationship with King Edward VIII led to his abdication of the British throne.
-
D.
Bysshe
Bysshe is the middle name of the renowned English Romantic poet Percy Bysshe Shelley.
-
E.
Wallas
Wallas is a surname most notably associated with Graham Wallas, the British social psychologist and political scientist known for his work on democratic theory and the psychology of thought.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd989b529c81909ee18dd3d468c816 |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c2710b481909a13d946f6dd5b2d |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 7:59 p.m.