Triple
T21278910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Winton |
E524463
|
entity |
| Predicate | associatedDynasty |
P1547
|
FINISHED |
| Object |
Seton
Seton is a historic Scottish noble family that produced the Earls of Winton and played a prominent role in the country’s medieval and early modern aristocracy.
|
E1476430
|
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: Seton | Statement: [Earl of Winton, associatedDynasty, Seton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seton Context triple: [Earl of Winton, associatedDynasty, Seton]
-
A.
Seton
Seton is a given name most notably borne by American screenwriter and producer Seton I. Miller, known for his work in classic Hollywood cinema.
-
B.
Rose of Saint Mary
Rose of Saint Mary is another name for Saint Rose of Lima, the 17th-century Peruvian mystic venerated as the first canonized saint of the Americas.
-
C.
Loretto
Loretto is a small town in central Kentucky best known as the home of the Maker’s Mark bourbon distillery.
-
D.
Loretto
Loretto is a small city located in Hennepin County in the U.S. state of Minnesota.
-
E.
MacKillop
MacKillop is a rural electoral district in South Australia, known for its agricultural communities and expansive regional landscapes.
- 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: Seton Triple: [Earl of Winton, associatedDynasty, Seton]
Generated description
Seton is a historic Scottish noble family that produced the Earls of Winton and played a prominent role in the country’s medieval and early modern aristocracy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seton Target entity description: Seton is a historic Scottish noble family that produced the Earls of Winton and played a prominent role in the country’s medieval and early modern aristocracy.
-
A.
Seton
Seton is a given name most notably borne by American screenwriter and producer Seton I. Miller, known for his work in classic Hollywood cinema.
-
B.
Rose of Saint Mary
Rose of Saint Mary is another name for Saint Rose of Lima, the 17th-century Peruvian mystic venerated as the first canonized saint of the Americas.
-
C.
Loretto
Loretto is a small town in central Kentucky best known as the home of the Maker’s Mark bourbon distillery.
-
D.
Loretto
Loretto is a small city located in Hennepin County in the U.S. state of Minnesota.
-
E.
MacKillop
MacKillop is a rural electoral district in South Australia, known for its agricultural communities and expansive regional landscapes.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73658f598819098a1192abfa40a12 |
completed | April 21, 2026, 8:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09980294548190a099b4d83be09b04 |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0998c794f08190bbf31ce6df99229d |
completed | May 17, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0999884e0481909b7ea54cd7ef87b5 |
completed | May 17, 2026, 10:33 a.m. |
Created at: April 16, 2026, 4:02 p.m.