Triple
T22946917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duma |
E569897
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Ian Roberts |
—
|
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: Ian Roberts | Statement: [Duma, castMember, Ian Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Roberts Context triple: [Duma, castMember, Ian Roberts]
-
A.
Ian Roberts
Ian Roberts is a South African actor best known for his roles in film, television, and stage productions, often portraying rugged or authoritative characters.
-
B.
Ian Roberts
chosen
Ian Roberts is an American comedian, writer, and actor best known as a founding member of the Upright Citizens Brigade and a producer and writer on various sketch comedy projects.
-
C.
Jonathan Roberts
Jonathan Roberts is a professional ballroom dancer best known for his appearances as a pro on the television show "Dancing with the Stars."
-
D.
Jonathan Roberts
Jonathan Roberts is an American screenwriter best known for co-writing Disney’s animated classic "The Lion King."
-
E.
Jonathan Roberts
Jonathan Roberts is a creator known for his work on the project or character "Scar."
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819e559c81909e63acfc23f9476b |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.