Triple
T9937383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unbroken |
E193990
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Jack O'Connell |
E348087
|
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: Jack O'Connell | Statement: [Unbroken, starredActor, Jack O'Connell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack O'Connell Context triple: [Unbroken, starredActor, Jack O'Connell]
-
A.
Jack O’Connell
chosen
Jack O’Connell is an English actor known for his intense performances in film and television, including prominent roles in projects like "Skins," "’71," and "Unbroken."
-
B.
Josh O'Connor
Josh O'Connor is a British actor best known for his acclaimed portrayal of Prince Charles in the television series "The Crown" and roles in films such as "God's Own Country."
-
C.
Thomas Brodie-Sangster
Thomas Brodie-Sangster is an English actor known for his roles in projects such as "Nanny McPhee," "The Maze Runner" series, and "Game of Thrones."
-
D.
Lewis MacDougall
Lewis MacDougall is a Scottish actor best known for his breakout role as the young protagonist in the fantasy drama film "A Monster Calls."
-
E.
George MacKay
George MacKay is a British actor best known for his leading role in the World War I film "1917" and for his versatile performances in independent and mainstream cinema.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e4e19881909879b394090d6629 |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2578e92f08190ba53f943f3da2166 |
completed | April 5, 2026, 12:37 p.m. |
Created at: March 30, 2026, 8:44 p.m.