Triple
T20979905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lance Stater |
E516728
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object |
Danebury
Danebury is the fictional rural English town that serves as the primary setting of the comedy series "Detectorists."
|
E1460638
|
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: Danebury | Statement: [Lance Stater, setting, Danebury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danebury Context triple: [Lance Stater, setting, Danebury]
-
A.
Fishbourne
Fishbourne is a village in West Sussex, England, best known for the nearby Fishbourne Roman Palace, one of the largest Roman villa complexes in Britain.
-
B.
Fishbourne
Fishbourne is a village and civil parish on the Isle of Wight in England, known for its car ferry terminal linking the island to the mainland.
-
C.
Worlebury Camp
Worlebury Camp is an Iron Age hillfort located on Worlebury Hill overlooking Weston-super-Mare in North Somerset, England.
-
D.
Romsey Abbey
Romsey Abbey is a historic former Benedictine nunnery and parish church in Hampshire, England, noted for its impressive Norman architecture and royal connections.
-
E.
Hawkenbury
Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
- 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: Danebury Triple: [Lance Stater, setting, Danebury]
Generated description
Danebury is the fictional rural English town that serves as the primary setting of the comedy series "Detectorists."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danebury Target entity description: Danebury is the fictional rural English town that serves as the primary setting of the comedy series "Detectorists."
-
A.
Fishbourne
Fishbourne is a village and civil parish on the Isle of Wight in England, known for its car ferry terminal linking the island to the mainland.
-
B.
Fishbourne
Fishbourne is a village in West Sussex, England, best known for the nearby Fishbourne Roman Palace, one of the largest Roman villa complexes in Britain.
-
C.
Worlebury Camp
Worlebury Camp is an Iron Age hillfort located on Worlebury Hill overlooking Weston-super-Mare in North Somerset, England.
-
D.
Romsey Abbey
Romsey Abbey is a historic former Benedictine nunnery and parish church in Hampshire, England, noted for its impressive Norman architecture and royal connections.
-
E.
Hawkenbury
Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbdc6ca08190919717f4328c7a0d |
completed | April 21, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a092fc0baf88190ae0b911008043e68 |
completed | May 17, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_6a0930a5cffc8190a7d1cc19e5cacf49 |
completed | May 17, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093133c77c8190a9e0326980c7717f |
completed | May 17, 2026, 3:08 a.m. |
Created at: April 16, 2026, 1:47 p.m.