Triple
T21247475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Mahoney |
E523651
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mahoney |
—
|
NE NERFINISHED |
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: Mahoney | Statement: [Louis Mahoney, familyName, Mahoney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahoney Context triple: [Louis Mahoney, familyName, Mahoney]
-
A.
Mahoney
chosen
Mahoney is a surname of Irish origin borne by various notable individuals across fields such as politics, sports, and entertainment.
-
B.
Maloney
Maloney is a surname most notably associated with American actress Dorothy Malone, known for her roles in classic Hollywood films and television.
-
C.
Hal Mooney
Hal Mooney was an American composer, arranger, and record producer best known for his work in jazz and popular music during the mid-20th century.
-
D.
Bert Mooney
Bert Mooney was an American aviator recognized for his pioneering contributions to aviation in Montana, for which an airport in Butte bears his name.
-
E.
Kinnear
Kinnear is an English surname most notably associated with the British actor Rory Kinnear and his theatrical family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359b756c819085480ca4174c53c2 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:55 p.m.