Triple
T4033436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Force of Evil |
E83767
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Bob Roberts |
E318247
|
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: Bob Roberts | Statement: [Force of Evil, producer, Bob Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Roberts Context triple: [Force of Evil, producer, Bob Roberts]
-
A.
Bob Roberts
Bob Roberts is a 1992 satirical mockumentary film about a right-wing folk-singing politician, written, directed by, and starring Tim Robbins.
-
B.
Bob Roberts
chosen
Bob Roberts was a film producer active in mid-20th-century American cinema, notably involved in classic Hollywood productions.
-
C.
Laramie Eppler
Laramie Eppler is an American actor best known for his role as one of the young brothers in Terrence Malick’s acclaimed film "The Tree of Life."
-
D.
Don Roberts
Don Roberts is a software engineer and author known for his contributions to object-oriented design and refactoring, including work on the influential book "Refactoring: Improving the Design of Existing Code."
-
E.
Joe Roberts
Joe Roberts was an American silent film actor best known for his frequent collaborations with comedian Buster Keaton in the 1920s.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb108fc0819080c8f41da2e558e0 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5563e11708190abc9ba55b1be43a5 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.