Triple
T6718080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronnie Fish |
E153322
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Ronald Fish |
E213812
|
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: Ronald Fish | Statement: [Ronnie Fish, alsoKnownAs, Ronald Fish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronald Fish Context triple: [Ronnie Fish, alsoKnownAs, Ronald Fish]
-
A.
Ronald Fish
chosen
Ronald Fish is a fictional character in P. G. Wodehouse’s Blandings Castle stories, known as one of Lord Emsworth’s amiable but often troublesome younger relatives.
-
B.
Ronald Bell
Ronald Bell was a British Conservative politician and barrister who served for many years as a Member of Parliament in the mid-20th century.
-
C.
Bob Fisher
Bob Fisher is an American screenwriter best known for co-writing the hit comedy film "Wedding Crashers."
-
D.
Ronald Wilson
Ronald Wilson was a television director best known for his work on the BBC adaptation of Anthony Trollope’s political novel series "The Pallisers."
-
E.
Ronald Brooks
Ronald Brooks is a songwriter best known for his work on the hit track "I Get Around."
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d12765a48190b485176dc2ffa0fa |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7129975fc8190984132e0680b46c6 |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:07 p.m.