Triple
T14942411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eragon |
E372562
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object | Edward Speleers |
E857413
|
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: Edward Speleers | Statement: [Eragon, featuresActor, Edward Speleers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Speleers Context triple: [Eragon, featuresActor, Edward Speleers]
-
A.
Ed Speleers
chosen
Ed Speleers is an English actor best known for his roles in the fantasy film "Eragon" and the television series "Downton Abbey" and "Outlander."
-
B.
Colin Morgan
Colin Morgan is a Northern Irish actor best known for his title role in the BBC fantasy series "Merlin" and various acclaimed stage and screen performances.
-
C.
Bob Morley
Bob Morley is an Australian actor best known for playing Bellamy Blake on the post-apocalyptic television series "The 100."
-
D.
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."
-
E.
Lucien Laviscount
Lucien Laviscount is a British actor and former teen heartthrob best known for his roles in television series such as "Emily in Paris," "Scream Queens," and "Waterloo Road."
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68c1df0819084c0cd61b207d398 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef603b788190ad747d73af2363d4 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 2:38 a.m.