Triple
T8870360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Keally |
E211137
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Keally
Keally is a surname most notably associated with Francis Keally, an American architect active in the early to mid-20th century.
|
E764688
|
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: Keally | Statement: [Francis Keally, familyName, Keally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keally Context triple: [Francis Keally, familyName, Keally]
-
A.
Kayely
Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
-
B.
Keely
Keely is a surname most notably associated with Patrick Charles Keely, a prominent 19th-century Irish-American architect known for designing numerous Roman Catholic churches in the United States.
-
C.
Kelli
Kelli is a feminine given name, typically considered a variant spelling of Kelly.
-
D.
Kayl
Kayl is a commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s steel-producing region.
-
E.
Keery
Keery is the surname of American actor and musician Joe Keery, best known for his role as Steve Harrington on the television series "Stranger Things."
- 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: Keally Triple: [Francis Keally, familyName, Keally]
Generated description
Keally is a surname most notably associated with Francis Keally, an American architect active in the early to mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keally Target entity description: Keally is a surname most notably associated with Francis Keally, an American architect active in the early to mid-20th century.
-
A.
Kayely
Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
-
B.
Keely
Keely is a surname most notably associated with Patrick Charles Keely, a prominent 19th-century Irish-American architect known for designing numerous Roman Catholic churches in the United States.
-
C.
Kelli
Kelli is a feminine given name, typically considered a variant spelling of Kelly.
-
D.
Kayl
Kayl is a commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s steel-producing region.
-
E.
Keery
Keery is the surname of American actor and musician Joe Keery, best known for his role as Steve Harrington on the television series "Stranger Things."
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6126d2f88190979ab25772ee657c |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab9e87cc8190ae3c8c683aa0921e |
completed | April 3, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69cfad35141081908033585378bf0a25 |
completed | April 3, 2026, 12:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfadb323988190960dd933f752c456 |
completed | April 3, 2026, 12:08 p.m. |
Created at: March 30, 2026, 6:51 p.m.