Triple
T5352069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oren Moverman |
E102599
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Christian Bale |
E50267
|
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: Christian Bale | Statement: [Oren Moverman, workedWith, Christian Bale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Bale Context triple: [Oren Moverman, workedWith, 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.
James McAvoy
James McAvoy is a Scottish actor known for his versatile performances in films such as the X-Men series, Atonement, and Split.
-
D.
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.
-
E.
Matthew Goode
Matthew Goode is an English actor known for his roles in films such as "Match Point," "The Imitation Game," and "Stoker," as well as TV series like "Downton Abbey" and "The Good Wife."
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd861327288190b3f2720ce81e0de6 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21d836b081908a5fb4e73397fa44 |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:01 p.m.