Triple
T7360780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Conolly |
E169740
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Conolly
Conolly is a surname most notably associated with Arthur Conolly, a 19th-century British intelligence officer and explorer involved in the "Great Game" in Central Asia.
|
E658007
|
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: Conolly | Statement: [Arthur Conolly, familyName, Conolly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conolly Context triple: [Arthur Conolly, familyName, Conolly]
-
A.
Earnley
Earnley is a small rural village and civil parish in West Sussex, England, situated near the south coast on the Manhood Peninsula.
-
B.
Credenhill
Credenhill is a village in Herefordshire, England, known for its rural setting and proximity to military facilities such as Stirling Lines.
-
C.
Stonely
Stonely is a small village in Cambridgeshire, England, situated close to the town of Kimbolton.
-
D.
Blatchford
Blatchford is a sustainable, mixed-use residential community being developed on the former Edmonton City Centre Airport lands in Edmonton, Alberta.
-
E.
Lydney
Lydney is a small town in southwest England situated on the River Severn near the Forest of Dean.
- 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: Conolly Triple: [Arthur Conolly, familyName, Conolly]
Generated description
Conolly is a surname most notably associated with Arthur Conolly, a 19th-century British intelligence officer and explorer involved in the "Great Game" in Central Asia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Conolly Target entity description: Conolly is a surname most notably associated with Arthur Conolly, a 19th-century British intelligence officer and explorer involved in the "Great Game" in Central Asia.
-
A.
Earnley
Earnley is a small rural village and civil parish in West Sussex, England, situated near the south coast on the Manhood Peninsula.
-
B.
Credenhill
Credenhill is a village in Herefordshire, England, known for its rural setting and proximity to military facilities such as Stirling Lines.
-
C.
Stonely
Stonely is a small village in Cambridgeshire, England, situated close to the town of Kimbolton.
-
D.
Blatchford
Blatchford is a sustainable, mixed-use residential community being developed on the former Edmonton City Centre Airport lands in Edmonton, Alberta.
-
E.
Lydney
Lydney is a small town in southwest England situated on the River Severn near the Forest of Dean.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f13f325081909ccdcbf9f5660cee |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fab0247081909c25a8d14fa07fd4 |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fc2d45c0819085e1f8ef40e0c474 |
completed | March 28, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fc84fff48190b4b43da21a9ede51 |
completed | March 28, 2026, 4:06 p.m. |
Created at: March 27, 2026, 3:06 p.m.