Triple
T5926746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Laura Standish |
E131830
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Standish
Standish is an English surname historically associated with several notable families and figures in Britain.
|
E556994
|
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: Standish | Statement: [Lady Laura Standish, hasFamilyName, Standish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Standish Context triple: [Lady Laura Standish, hasFamilyName, Standish]
-
A.
Standish
Standish is a village in Lancashire, England, known for its historic parish church and traditional English character.
-
B.
Brainerd
Brainerd is a small city in central Minnesota, United States, known as a regional hub for outdoor recreation in the lakes area.
-
C.
Standish, Maine
Standish, Maine is a small town in southern Maine known for its rural character, lakeside recreation on Sebago Lake, and proximity to the Portland metropolitan area.
-
D.
Saintfield
Saintfield is a small town and civil parish in Northern Ireland known for its historic architecture and rural surroundings.
-
E.
Woodbury
Woodbury is an English-origin surname borne by various notable individuals, including American statesman and Supreme Court Justice Levi Woodbury.
- 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: Standish Triple: [Lady Laura Standish, hasFamilyName, Standish]
Generated description
Standish is an English surname historically associated with several notable families and figures in Britain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Standish Target entity description: Standish is an English surname historically associated with several notable families and figures in Britain.
-
A.
Standish
Standish is a village in Lancashire, England, known for its historic parish church and traditional English character.
-
B.
Brainerd
Brainerd is a small city in central Minnesota, United States, known as a regional hub for outdoor recreation in the lakes area.
-
C.
Standish, Maine
Standish, Maine is a small town in southern Maine known for its rural character, lakeside recreation on Sebago Lake, and proximity to the Portland metropolitan area.
-
D.
Saintfield
Saintfield is a small town and civil parish in Northern Ireland known for its historic architecture and rural surroundings.
-
E.
Woodbury
Woodbury is a master-planned residential village within the city of Irvine, California, known for its organized neighborhoods, parks, and community amenities.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038542e548190b335df9a948c8490 |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c05460c481908f3efde19e3ffa2a |
completed | March 23, 2026, 4:23 a.m. |
| NEDg | Description generation | batch_69c0c1bf78908190933360b1099b1444 |
completed | March 23, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c240c3ac8190895c621c3d326bfd |
completed | March 23, 2026, 4:32 a.m. |
Created at: March 22, 2026, 4 p.m.