Triple
T16389439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewis MacDougall |
E398011
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lewis MacDougall |
E398011
|
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: Lewis MacDougall | Statement: [Lewis MacDougall, name, Lewis MacDougall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lewis MacDougall Context triple: [Lewis MacDougall, name, Lewis MacDougall]
-
A.
Lewis MacDougall
chosen
Lewis MacDougall is a Scottish actor best known for his breakout role as the young protagonist in the fantasy drama film "A Monster Calls."
-
B.
Alex Lawther
Alex Lawther is an English actor known for his nuanced performances in film and television, including roles in "The Imitation Game," "The End of the F***ing World," and "Black Mirror."
-
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.
Jonathan Bailey
Jonathan Bailey is an Anglican clergyman who served as the Bishop of Derby in the Church of England.
-
E.
Nicholas Hoult
Nicholas Hoult is an English actor known for his versatile roles in films such as "About a Boy," the "X-Men" series, and "Mad Max: Fury Road," as well as the TV series "Skins" and "The Great."
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326414f44819093ebc11f1b63444c |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00357167b881909a5182537ef973ce |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.