Triple
T15197564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keely Smith |
E363176
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Keely |
E274726
|
NE FINISHED |
How this triple was built (2 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: Keely | Statement: [Keely Smith, familyName, Keely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keely Context triple: [Keely Smith, familyName, Keely]
-
A.
Keely
chosen
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.
-
B.
Keeley
Keeley is a feminine given name of English origin, often used both as a first name and surname.
-
C.
Keally
Keally is a surname most notably associated with Francis Keally, an American architect active in the early to mid-20th century.
-
D.
Kayely
Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
-
E.
Kaye
Kaye is a surname shared by various notable individuals across fields such as film, music, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067fcc788190abdc083d4eadeb36 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3342624819087be35acadd88136 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:10 a.m.