Triple
T23051065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Todd |
E574013
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Ronald Todd |
—
|
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: Ronald Todd | Statement: [Ron Todd, fullName, Ronald Todd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronald Todd Context triple: [Ron Todd, fullName, Ronald Todd]
-
A.
Ron Todd
Ron Todd is an American politician who served as the Kansas Insurance Commissioner before Kathleen Sebelius.
-
B.
Ron Todd
chosen
Ron Todd was a prominent British trade union leader who served as a key figure in the labor movement during the late 20th century.
-
C.
Dennis Price
Dennis Price was a British actor known for his suave, often sardonic screen presence in mid-20th-century films and television.
-
D.
Roger Lloyd-Pack
Roger Lloyd-Pack was an English actor best known for his comedic roles in British television, particularly as Trigger in "Only Fools and Horses."
-
E.
Joss Ackland
Joss Ackland is a distinguished English actor known for his extensive film, television, and stage career, often portraying authoritative or villainous characters.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867c443081909588262bc90748af |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.