Triple
T18916896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anakin Skywalker’s lightsaber |
E462745
|
entity |
| Predicate | propUsedBy |
P22634
|
FINISHED |
| Object | John Boyega |
—
|
NE NERFINISHED |
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: John Boyega | Statement: [Anakin Skywalker’s lightsaber, propUsedBy, John Boyega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Boyega Context triple: [Anakin Skywalker’s lightsaber, propUsedBy, John Boyega]
-
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.
Lucas Till
Lucas Till is an American actor best known for roles in projects like the X-Men film series and the TV reboot of MacGyver.
-
C.
Colin O'Donoghue
Colin O'Donoghue is an Irish actor best known for playing Captain Hook/Killian Jones on the television series "Once Upon a Time" and for his work in film and voice acting.
-
D.
Levi Miller
Levi Miller is an Australian actor best known for playing the young Peter Pan in the fantasy adventure film "Pan" (2015).
-
E.
Antony Starr
Antony Starr is a New Zealand actor best known for his intense television roles, particularly as the sociopathic superhero Homelander in the series "The Boys."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c627724881909cf63c67d64321e8 |
completed | April 20, 2026, 6:22 a.m. |
Created at: April 10, 2026, 11:58 a.m.