Triple
T13873065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beverly Hills Cop II |
E333502
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Billy Weber |
E285441
|
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: Billy Weber | Statement: [Beverly Hills Cop II, editedBy, Billy Weber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billy Weber Context triple: [Beverly Hills Cop II, editedBy, Billy Weber]
-
A.
Billy Weber
chosen
Billy Weber is an American film editor known for his long-time collaboration with director Terrence Malick on critically acclaimed films.
-
B.
Daryl Stuermer
Daryl Stuermer is an American guitarist and bassist best known for his long-time work as a touring and session musician with Genesis and Phil Collins.
-
C.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
D.
Peter Weber
Peter Weber is an American television personality and commercial airline pilot best known as the lead on season 24 of the reality dating show "The Bachelor."
-
E.
Marc Wydell
Marc Wydell is a central character in the animated film "Ron's Gone Wrong," depicted as a socially awkward middle-schooler whose malfunctioning robot friend helps him navigate friendship and growing up in a hyper-connected digital world.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0be4031c8190bef5865ec23b18a0 |
completed | April 14, 2026, 9:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c107c20c81909dff0ca4a59fcc55 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.