Triple
T289240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilfred Owen |
E5953
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Wilfred
Wilfred is a masculine given name of English origin, notably borne by the World War I poet Wilfred Owen.
|
E37126
|
NE FINISHED |
How this triple was built (4 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.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
B.
The Brus
The Brus is a Middle Scots epic poem by John Barbour that recounts the life and battles of Robert the Bruce and the First War of Scottish Independence.
-
C.
Silas
Silas is an early Christian leader and missionary companion of Paul, mentioned in the New Testament for his role in spreading the gospel and strengthening the early Church.
-
D.
Clive
Clive is a surname most famously associated with Robert Clive, the 18th-century British officer who played a key role in establishing British rule in India.
-
E.
Goodwin Knight
Goodwin Knight was an American Republican politician who served as the 31st governor of California in the 1950s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wilfred Triple: [Wilfred Owen, givenName, Wilfred]
Generated description
Wilfred is a masculine given name of English origin, notably borne by the World War I poet Wilfred Owen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilfred Target entity description: Wilfred is a masculine given name of English origin, notably borne by the World War I poet Wilfred Owen.
-
A.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
B.
The Brus
The Brus is a Middle Scots epic poem by John Barbour that recounts the life and battles of Robert the Bruce and the First War of Scottish Independence.
-
C.
Silas
Silas is an early Christian leader and missionary companion of Paul, mentioned in the New Testament for his role in spreading the gospel and strengthening the early Church.
-
D.
Clive
Clive is a surname most famously associated with Robert Clive, the 18th-century British officer who played a key role in establishing British rule in India.
-
E.
Goodwin Knight
Goodwin Knight was an American Republican politician who served as the 31st governor of California in the 1950s.
- F. None of above. chosen
Provenance (5 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e4df5508190ab75115ac6b3964e |
completed | Feb. 28, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a39d0a5cd4819094bd1fde13d31874 |
completed | March 1, 2026, 1:57 a.m. |
| NEDg | Description generation | batch_69a39d5559bc8190bf6624e5305394e7 |
completed | March 1, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a39ddc79c08190a8978efe7b6d08f6 |
completed | March 1, 2026, 2:01 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.