Triple
T8802910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Prowse |
E209453
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | David Charles Prowse |
E209453
|
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: David Charles Prowse | Statement: [David Prowse, birthName, David Charles Prowse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Charles Prowse Context triple: [David Prowse, birthName, David Charles Prowse]
-
A.
David Prowse
chosen
David Prowse was an English bodybuilder and actor best known for physically portraying Darth Vader in the original Star Wars trilogy.
-
B.
Peter Mayhew
Peter Mayhew was an English-American actor best known for portraying the Wookiee Chewbacca in the original Star Wars film series.
-
C.
Anthony Daniels
Anthony Daniels is an English actor best known for portraying the droid C-3PO throughout the Star Wars film series.
-
D.
Billy Dee Williams
Billy Dee Williams is an American actor best known for his charismatic roles in films such as "The Empire Strikes Back" and "Return of the Jedi," where he portrayed Lando Calrissian.
-
E.
Kenny Baker
Kenny Baker was an English actor best known for portraying the droid R2-D2 in the original Star Wars film series.
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fbb5b108190a9f889d40aa20521 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf8921a13081909346b97c024110b6 |
completed | April 3, 2026, 9:32 a.m. |
Created at: March 30, 2026, 6:44 p.m.