Triple
T17749569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Flowers of War |
E443076
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Christian Bale |
—
|
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: Christian Bale | Statement: [The Flowers of War, castMember, Christian Bale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Bale Context triple: [The Flowers of War, castMember, Christian Bale]
-
A.
Christian Bale
chosen
Christian Bale is an acclaimed British actor known for his intense method acting and transformative roles in films such as "American Psycho," "The Dark Knight" trilogy, and "The Fighter."
-
B.
Roger Winslet
Roger Winslet is the father of acclaimed English actress Kate Winslet.
-
C.
Jonathan Rhys Hill
Jonathan Rhys Hill is a composer best known for his work on television drama scores, including the series "The Trial of Christine Keeler."
-
D.
James McAvoy
James McAvoy is a Scottish actor known for his versatile performances in films such as the X-Men series, Atonement, and Split.
-
E.
Jude Law
Jude Law is an English actor known for his versatile performances in films such as "The Talented Mr. Ripley," "Cold Mountain," and the "Sherlock Holmes" series.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48418c0188190beb31809b40e4648 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.