Triple
T2457738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Errol |
E54460
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Erroll |
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: Erroll | Statement: [Errol, hasVariant, Erroll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erroll Context triple: [Errol, hasVariant, Erroll]
-
A.
Errol
chosen
Errol is a masculine given name of English origin, often used as a first name in various English-speaking countries.
-
B.
Dooley Wilson
Dooley Wilson was an American actor and singer best known for his iconic performance as Sam, the piano player who sings "As Time Goes By," in the classic film Casablanca.
-
C.
Bobby Short
Bobby Short was an American cabaret singer and pianist renowned for his sophisticated interpretations of the Great American Songbook, especially the works of Cole Porter.
-
D.
Mickey Jones
Mickey Jones was an American drummer and character actor known for his work with prominent rock bands in the 1960s and 1970s and for numerous film and television roles.
-
E.
Elmo Williams
Elmo Williams was an American film editor and producer best known for his Academy Award–winning work on "High Noon" and contributions to numerous classic Hollywood films.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd10860188190bfc4c554914487b4 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17932530819097caefff366e2183 |
completed | March 9, 2026, 6:55 p.m. |
Created at: March 6, 2026, 9:44 p.m.