Triple
T15008165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anathema Device |
E377761
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Tadfield |
E620098
|
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: Tadfield | Statement: [Anathema Device, residence, Tadfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tadfield Context triple: [Anathema Device, residence, Tadfield]
-
A.
Tadfield
chosen
Tadfield is a seemingly ordinary English village that serves as the central, idyllic backdrop for the apocalyptic events in Neil Gaiman and Terry Pratchett’s novel "Good Omens."
-
B.
Tatsfield
Tatsfield is a village and civil parish in the Tandridge district of Surrey, England, situated near the border with Greater London and Kent.
-
C.
Waldringfield
Waldringfield is a small riverside village in eastern England known for its scenic setting on the River Deben and sailing activities.
-
D.
Therfield
Therfield is a small rural village in Hertfordshire, England, known for its surrounding chalk downland and proximity to the prehistoric Therfield Heath.
-
E.
Austerfield
Austerfield is a small village in South Yorkshire, England, notable for its historic church and connections to early English history.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded73348d4819091d9e7f1b0fed822 |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96a52bb08190961e3f18d751fe2a |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:55 a.m.