Triple
T21247473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Mahoney |
E523651
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Louis 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: Louis Mahoney | Statement: [Louis Mahoney, name, Louis Mahoney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Mahoney Context triple: [Louis Mahoney, name, Louis Mahoney]
-
A.
Louis Mahoney
chosen
Louis Mahoney was a Gambian-born British actor and pioneering anti-racism campaigner in the UK entertainment industry, known for his numerous television, film, and stage roles.
-
B.
Loyd Wheaton
Loyd Wheaton was a U.S. Army general who played a prominent leadership role in the Philippine–American War, particularly during the Luzon campaign.
-
C.
Frank Alsip
Frank Alsip was a prominent local figure and early resident or landowner after whom the village of Alsip, Illinois, was named.
-
D.
Frank Hagney
Frank Hagney was an Australian-born character actor known for his numerous supporting roles in American films during the early to mid-20th century.
-
E.
Mahlon Sweet
Mahlon Sweet was a prominent local aviation advocate and civic leader in Eugene, Oregon, whose efforts were instrumental in establishing the city’s municipal airport.
- 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.