Triple
T7381952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dion Beebe |
E170277
|
entity |
| Predicate | name |
P16
|
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: [Dion Beebe, name, Dion Beebe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dion Beebe Context triple: [Dion Beebe, name, 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.
Grant Bardsley
Grant Bardsley is a British voice actor best known for voicing the protagonist Taran in Disney’s animated film "The Black Cauldron."
-
D.
Dave Barbour
Dave Barbour was an American jazz guitarist, composer, and arranger best known for his work with Benny Goodman and his musical collaborations with singer Peggy Lee.
-
E.
Tim Latta
Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c9a3c48190972126c19aa31dca |
completed | March 27, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810e879e88190a421409194868587 |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:08 p.m.