Triple
T2102761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilfred Owen |
E37126
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Wilfred |
E37126
|
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: Wilfred | Statement: [Wilfred Owen, givenName, Wilfred]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilfred Context triple: [Wilfred Owen, givenName, Wilfred]
-
A.
Wilfred
chosen
Wilfred is a masculine given name of English origin, notably borne by the World War I poet Wilfred Owen.
-
B.
Wilfrid
Wilfrid is a masculine given name of Old English origin, often associated with early medieval saints and historical figures in Britain.
-
C.
Willibald
Willibald is the given name of the influential 18th-century opera composer Christoph Willibald Gluck.
-
D.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
E.
Childe
Childe is a given name most notably associated with Childe Harold Wills, an early 20th-century American automotive engineer and metallurgist who worked closely with Henry Ford.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbabe1e9081908ea66c5406e2f1d9 |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae518fb0b4819096a8ce455e22661a |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:43 p.m.