Triple
T5342262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connelly |
E123970
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Conneely
Conneely is an Irish surname, often considered a variant of Connelly, with roots in Gaelic family names.
|
E512498
|
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: Conneely | Statement: [Connelly, hasVariant, Conneely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conneely Context triple: [Connelly, hasVariant, Conneely]
-
A.
Hanley
Hanley is one of the main towns that make up the city of Stoke-on-Trent in Staffordshire, England, known historically for its role in the pottery industry.
-
B.
Hayes
Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
-
C.
Hayes
Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
-
D.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
E.
Dillon
Dillon is a small city in southwestern Montana known as a regional hub for ranching, outdoor recreation, and as the home of the University of Montana Western.
- 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: Conneely Triple: [Connelly, hasVariant, Conneely]
Generated description
Conneely is an Irish surname, often considered a variant of Connelly, with roots in Gaelic family names.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Conneely Target entity description: Conneely is an Irish surname, often considered a variant of Connelly, with roots in Gaelic family names.
-
A.
Hanley
Hanley is one of the main towns that make up the city of Stoke-on-Trent in Staffordshire, England, known historically for its role in the pottery industry.
-
B.
Hayes
Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
-
C.
Hayes
Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
-
D.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
E.
Dillon
Dillon is a small city in southwestern Montana known as a regional hub for ranching, outdoor recreation, and as the home of the University of Montana Western.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85cc5a9881909e23bf9c5b697a8e |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18cc387c8190a9fe430fe5bb38ce |
completed | March 21, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69bf1a5440d8819094a6da0282408b7b |
completed | March 21, 2026, 10:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1abe1ea88190b681eb18bfa361d7 |
completed | March 21, 2026, 10:25 p.m. |
Created at: March 20, 2026, 2:01 p.m.