Triple
T1729503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Wilfred |
E37576
|
entity |
| Predicate | alsoKnownAs |
P39
|
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: [Operation Wilfred, alsoKnownAs, Wilfred]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilfred Context triple: [Operation Wilfred, alsoKnownAs, Wilfred]
-
A.
Wilfred
chosen
Wilfred is a masculine given name of English origin, notably borne by the World War I poet Wilfred Owen.
-
B.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
C.
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.
-
D.
Botwulf
Botwulf is an alternate name for Saint Botolph, a 7th-century English abbot venerated as the patron saint of travelers and various East Anglian towns.
-
E.
Rowland
Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa637da7048190a06f2eec6cb87f70 |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8af6b034819087f6d168b9f5249a |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 4, 2026, 7:30 p.m.