Triple
T5405209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Drostan |
E120875
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Old Deer
Old Deer is a historic village in Aberdeenshire, Scotland, known for its early Christian monastic connections and the nearby discovery of the medieval Book of Deer manuscript.
|
E517869
|
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: Old Deer | Statement: [Saint Drostan, associatedWith, Old Deer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Deer Context triple: [Saint Drostan, associatedWith, Old Deer]
-
A.
The Deer
The Deer is a character in the animated film "The Voices," portrayed through both acting and voice work by the same lead performer.
-
B.
The Meadows
The Meadows is a central shopping complex in Chelmsford, England, featuring a range of retail stores, eateries, and services.
-
C.
Longcross
Longcross is a village and civil parish in Surrey, England, known for its film studios and proximity to major transport links.
-
D.
Willowmore
Willowmore is a small rural town in South Africa’s Eastern Cape province, known as a gateway to the Baviaanskloof wilderness area.
-
E.
Wildwood
Wildwood is a popular seaside resort city on the Jersey Shore known for its expansive beaches, lively boardwalk, and classic Doo Wop–style motels.
- 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: Old Deer Triple: [Saint Drostan, associatedWith, Old Deer]
Generated description
Old Deer is a historic village in Aberdeenshire, Scotland, known for its early Christian monastic connections and the nearby discovery of the medieval Book of Deer manuscript.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Old Deer Target entity description: Old Deer is a historic village in Aberdeenshire, Scotland, known for its early Christian monastic connections and the nearby discovery of the medieval Book of Deer manuscript.
-
A.
The Deer
The Deer is a character in the animated film "The Voices," portrayed through both acting and voice work by the same lead performer.
-
B.
The Meadows
The Meadows is a central shopping complex in Chelmsford, England, featuring a range of retail stores, eateries, and services.
-
C.
Longcross
Longcross is a village and civil parish in Surrey, England, known for its film studios and proximity to major transport links.
-
D.
Willowmore
Willowmore is a small rural town in South Africa’s Eastern Cape province, known as a gateway to the Baviaanskloof wilderness area.
-
E.
Wildwood
Wildwood is a popular seaside resort city on the Jersey Shore known for its expansive beaches, lively boardwalk, and classic Doo Wop–style motels.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8775e964819085c0ff5afea35f0e |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf339037b4819084423826b7252002 |
completed | March 22, 2026, 12:10 a.m. |
| NEDg | Description generation | batch_69bf34fccbd88190a8e32ccaa86b72e8 |
completed | March 22, 2026, 12:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf35570404819090e553b7921c4cb8 |
completed | March 22, 2026, 12:18 a.m. |
Created at: March 20, 2026, 2:05 p.m.