Triple
T21099692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steep |
E519862
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Edward Thomas |
—
|
NE NERFINISHED |
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: Edward Thomas | Statement: [Steep, associatedWith, Edward Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Thomas Context triple: [Steep, associatedWith, Edward Thomas]
-
A.
Edward Thomas
Edward Thomas is a preserved narrow-gauge steam locomotive that operates on the historic Talyllyn Railway in Wales.
-
B.
Edward Thomas
chosen
Edward Thomas was a British poet and literary critic renowned for his nature-inspired verse and his association with the Georgian poetry movement before his death in World War I.
-
C.
Edward R. Thomas
Edward R. Thomas was an American socialite and wealthy heir to a banking and industrial fortune, known for his prominence in early 20th-century high society.
-
D.
Herbert Vaughan
Herbert Vaughan was a prominent 19th-century English Roman Catholic cardinal and Archbishop of Westminster known for his leadership in the Church and major building projects in London.
-
E.
Rupert Brooke
Rupert Brooke was an English poet best known for his idealistic war sonnets written during the early stages of World War I.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5cef408190821d345417b77116 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:53 p.m.