Triple
T598086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Boyega |
E11429
|
entity |
| Predicate | hasTwitterUsername |
P2943
|
FINISHED |
| Object | JohnBoyega |
E11429
|
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: JohnBoyega | Statement: [John Boyega, hasTwitterUsername, JohnBoyega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JohnBoyega Context triple: [John Boyega, hasTwitterUsername, JohnBoyega]
-
A.
John Boyega
chosen
John Boyega is a British actor and producer best known for his role as Finn in the Star Wars sequel trilogy.
-
B.
Pedro Pascal
Pedro Pascal is a Chilean-American actor known for his roles in major television series such as "Game of Thrones," "Narcos," and "The Mandalorian," as well as various high-profile films.
-
C.
Marc Tarpenning
Marc Tarpenning is an American engineer and entrepreneur best known as a co-founder of electric vehicle and clean energy company Tesla, Inc.
-
D.
Adam Driver
Adam Driver is an American actor acclaimed for his intense, versatile performances in film, television, and theater, including prominent roles in "Girls," the "Star Wars" sequel trilogy, and numerous critically lauded dramas.
-
E.
Jeremy Irvine
Jeremy Irvine is an English actor best known for his breakout role in Steven Spielberg’s "War Horse" and subsequent performances in films such as "The Railway Man."
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49d776c6c819081b41a9b55041cd5 |
completed | March 1, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a529220bc4819087e9de129139b6ef |
completed | March 2, 2026, 6:07 a.m. |
Created at: March 1, 2026, 7:35 p.m.