Triple
T6267173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finn |
E140441
|
entity |
| Predicate | variantForm |
P4680
|
FINISHED |
| Object |
Findlay
Findlay is a given name and surname of Scottish origin, often considered a variant of the name Finn or Finlay.
|
E692496
|
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: Findlay | Statement: [Finn, variantForm, Findlay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Findlay Context triple: [Finn, variantForm, Findlay]
-
A.
Havana, Ohio
Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
-
B.
Dublin, Ohio
Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
-
C.
London, Ohio
London, Ohio is a small city in Madison County that serves as a local commercial and administrative center within the Columbus metropolitan area.
-
D.
Montgomery, Ohio
Montgomery, Ohio is a suburban city in Hamilton County near Cincinnati, known for its historic charm, affluent residential character, and well-regarded schools.
-
E.
Covington, Ohio
Covington, Ohio is a small village in western Ohio known for its rural character and tight-knit community within the Dayton metropolitan area.
- 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: Findlay Triple: [Finn, variantForm, Findlay]
Generated description
Findlay is a given name and surname of Scottish origin, often considered a variant of the name Finn or Finlay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Findlay Target entity description: Findlay is a given name and surname of Scottish origin, often considered a variant of the name Finn or Finlay.
-
A.
Havana, Ohio
Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
-
B.
Dublin, Ohio
Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
-
C.
London, Ohio
London, Ohio is a small city in Madison County that serves as a local commercial and administrative center within the Columbus metropolitan area.
-
D.
Montgomery, Ohio
Montgomery, Ohio is a suburban city in Hamilton County near Cincinnati, known for its historic charm, affluent residential character, and well-regarded schools.
-
E.
Covington, Ohio
Covington, Ohio is a small village in western Ohio known for its rural character and tight-knit community within the Dayton metropolitan area.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063a0f2548190a2f5c307bc5a67cf |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ca47023570819082904801962f8dcb |
completed | March 30, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_69ca47972d688190ac7a81dab08fde11 |
completed | March 30, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ca483184708190a30d53a0041db6a7 |
completed | March 30, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:25 p.m.