Triple
T3940485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T. H. White |
E92021
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Terence Hanbury White |
E92021
|
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: Terence Hanbury White | Statement: [T. H. White, birthName, Terence Hanbury White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terence Hanbury White Context triple: [T. H. White, birthName, Terence Hanbury White]
-
A.
T. H. White
chosen
T. H. White was a British author best known for his Arthurian fantasy series "The Once and Future King."
-
B.
Robert May
Robert May was a prominent theoretical ecologist and mathematical biologist known for his influential work on population dynamics and the application of chaos theory to ecology.
-
C.
Richard Llewellyn
Richard Llewellyn was a Welsh novelist best known for his 1939 work "How Green Was My Valley," a classic depiction of life in a South Wales mining community.
-
D.
James Hilton
James Hilton was a British novelist best known for works such as "Lost Horizon" and "Goodbye, Mr. Chips," which became classics of 20th-century popular fiction.
-
E.
Geoffrey Streatfeild
Geoffrey Streatfeild is a British actor known for his work in film, television, and theatre, including roles in productions such as "The Thick of It" and "Spooks."
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfc88e4819084adefb695b975c5 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5338d9a7c8190ac5960eab5ae2ada |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:24 p.m.