Triple
T7760272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. Lee Rankin |
E176000
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Rankin
Rankin is a surname of Scottish origin borne by various notable individuals across politics, law, the arts, and entertainment.
|
E686905
|
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: Rankin | Statement: [J. Lee Rankin, familyName, Rankin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rankin Context triple: [J. Lee Rankin, familyName, Rankin]
-
A.
Selkirk
Selkirk is a historic town in the Scottish Borders known for its legal heritage, including past judicial functions and associations with Scotland’s justice system.
-
B.
Kincorth
Kincorth is a residential area in the south of Aberdeen, Scotland, known for its post-war housing and proximity to the River Dee.
-
C.
Courtenay
Courtenay is a small city in the Comox Valley region of British Columbia, Canada, known for its outdoor recreation and proximity to mountains and ocean.
-
D.
Courtenay
Courtenay is a French noble family historically associated with the Capetian dynasty and known for producing figures such as Peter II of Courtenay, Latin Emperor of Constantinople.
-
E.
Hannan
Hannan is a coastal city in southern Osaka Prefecture, Japan, known for its fishing industry and proximity to Osaka Bay.
- 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: Rankin Triple: [J. Lee Rankin, familyName, Rankin]
Generated description
Rankin is a surname of Scottish origin borne by various notable individuals across politics, law, the arts, and entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rankin Target entity description: Rankin is a surname of Scottish origin borne by various notable individuals across politics, law, the arts, and entertainment.
-
A.
Selkirk
Selkirk is a historic town in the Scottish Borders known for its legal heritage, including past judicial functions and associations with Scotland’s justice system.
-
B.
Kincorth
Kincorth is a residential area in the south of Aberdeen, Scotland, known for its post-war housing and proximity to the River Dee.
-
C.
Courtenay
Courtenay is a small city in the Comox Valley region of British Columbia, Canada, known for its outdoor recreation and proximity to mountains and ocean.
-
D.
Courtenay
Courtenay is a French noble family historically associated with the Capetian dynasty and known for producing figures such as Peter II of Courtenay, Latin Emperor of Constantinople.
-
E.
Hannan
Hannan is a coastal city in southern Osaka Prefecture, Japan, known for its fishing industry and proximity to Osaka Bay.
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c704036c588190a441e56c738cc309 |
completed | March 27, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7d2be488190bad1026b76fd0cd3 |
completed | March 29, 2026, 6:33 a.m. |
| NEDg | Description generation | batch_69c8c855af8881908bad7f278c492877 |
completed | March 29, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c8c516048190957d937f2f2273ad |
completed | March 29, 2026, 6:37 a.m. |
Created at: March 27, 2026, 4:09 p.m.