Triple
T11361476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Errol Morris |
E269095
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Errol |
E54460
|
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: Errol | Statement: [Errol Morris, givenName, Errol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Errol Context triple: [Errol Morris, givenName, Errol]
-
A.
Errol
chosen
Errol is a masculine given name of English origin, often used as a first name in various English-speaking countries.
-
B.
Errol Thompson
Errol Thompson was a pioneering Jamaican recording engineer and producer known for his influential work in reggae and dub music during the 1970s and 1980s.
-
C.
Rex Harrington
Rex Harrington is a celebrated Canadian ballet dancer and former principal with the National Ballet of Canada, renowned for his dramatic stage presence and virtuosic technique.
-
D.
Leon Errol
Leon Errol was an Australian-born American comedian and character actor best known for his rubber-legged physical comedy and prolific work in vaudeville, Broadway, and Hollywood films of the early 20th century.
-
E.
Joe E. Brown
Joe E. Brown was a popular American comedian and film actor of the 1930s and 1940s, known for his wide-mouthed grin and roles in numerous Hollywood comedies.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea442e5c8190babfde25540b27e9 |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e556542ecc8190a8109c17944598ab |
completed | April 19, 2026, 10:25 p.m. |
Created at: April 8, 2026, 9:33 p.m.