Triple
T13516124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Cut |
E322763
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Dion Beebe |
E170277
|
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: Dion Beebe | Statement: [In the Cut, cinematographyBy, Dion Beebe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dion Beebe Context triple: [In the Cut, cinematographyBy, Dion Beebe]
-
A.
Dion Beebe
chosen
Dion Beebe is an Academy Award–winning Australian–South African cinematographer known for his visually distinctive work on films such as "Memoirs of a Geisha" and "Collateral."
-
B.
Don Beyer
Don Beyer is an American Democratic politician and former Lieutenant Governor of Virginia who serves in the U.S. House of Representatives.
-
C.
Blaine Stoughton
Blaine Stoughton is a former professional ice hockey right winger best known for his prolific goal-scoring in the World Hockey Association and later in the NHL, particularly with the Hartford Whalers.
-
D.
Grant Bardsley
Grant Bardsley is a British voice actor best known for voicing the protagonist Taran in Disney’s animated film "The Black Cauldron."
-
E.
Don Beebe
Don Beebe is a former NFL wide receiver best known for his blazing speed, special teams play, and memorable hustle in multiple Super Bowl appearances with the Buffalo Bills.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac7a1ee88190951de590a4a07d6f |
completed | May 6, 2026, 9:02 p.m. |
Created at: April 9, 2026, 9:44 p.m.