Triple
T17036097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorogoa |
E413323
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object | Jason 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: Jason Roberts | Statement: [Gorogoa, designer, Jason Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Roberts Context triple: [Gorogoa, designer, Jason Roberts]
-
A.
Jason Roberts
chosen
Jason Roberts is an independent game designer best known for creating the critically acclaimed puzzle game Gorogoa.
-
B.
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.
-
C.
Ian Roberts
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.
-
D.
Jake Roberts
Jake Roberts is a film editor known for his work on major feature films, including the 2024 movie "Civil War."
-
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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f26f50819085dfd0fbecd6394d |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 5:33 a.m.