Triple
T1606815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake Pentecost |
E34523
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | John Boyega |
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: John Boyega | Statement: [Jake Pentecost, portrayedBy, John Boyega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Boyega Context triple: [Jake Pentecost, portrayedBy, 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.
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.
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."
-
E.
Jai Courtney
Jai Courtney is an Australian actor known for his roles in action and blockbuster films such as the Divergent series, A Good Day to Die Hard, and Suicide Squad.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9096b8a788190bd3ca395c32ccf25 |
completed | March 5, 2026, 4:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51bff1cc819082208a8a77fae631 |
completed | March 8, 2026, 10:38 a.m. |
Created at: March 4, 2026, 7:28 p.m.