Triple
T15305895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Career Girls |
E365895
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | David Thewlis |
E198561
|
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: David Thewlis | Statement: [Career Girls, hasCastMember, David Thewlis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Thewlis Context triple: [Career Girls, hasCastMember, David Thewlis]
-
A.
David Thewlis
chosen
David Thewlis is an English actor and filmmaker best known for roles such as Remus Lupin in the Harry Potter film series and his award-winning performance in Mike Leigh’s "Naked."
-
B.
Joseph Fiennes
Joseph Fiennes is an English actor known for his roles in films such as "Shakespeare in Love" and various historical and dramatic productions in both cinema and television.
-
C.
Peter Firth
Peter Firth is an English actor best known for his roles in the film "Equus" and the television series "Spooks" (MI-5).
-
D.
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."
-
E.
Daniel Mays
Daniel Mays is a British actor known for his versatile character roles in film and television, including prominent performances in projects like "Line of Duty," "Ashes to Ashes," and "Rogue One: A Star Wars Story."
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccef14c819099c5ebe962e7f867 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff28b707481908611ae8e23de3294 |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 3:16 a.m.