Triple
T7643636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simba |
E173068
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Jonathan Roberts |
E260625
|
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: Jonathan Roberts | Statement: [Simba, createdBy, Jonathan Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Roberts Context triple: [Simba, createdBy, Jonathan Roberts]
-
A.
Jonathan Roberts
chosen
Jonathan Roberts is an American screenwriter best known for co-writing Disney’s animated classic "The Lion King."
-
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.
Paul Roberts
Paul Roberts is known primarily as a former husband of acclaimed American actress Ellen Burstyn.
-
D.
Matthew B. Roberts
Matthew B. Roberts is a television writer and producer best known for his leading creative role on the historical drama series "Outlander."
-
E.
Michael Roberds
Michael Roberds was a Canadian actor best known for playing Uncle Fester in the 1990s television adaptation of The Addams Family.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faef96908190a7724b204f9d8c9e |
completed | March 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8d69adda4819087ca9eb631e0de54 |
completed | March 29, 2026, 7:36 a.m. |
Created at: March 27, 2026, 3:58 p.m.