Triple
T16649371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europa ’51 |
E404561
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Frédéric O’Brady
Frédéric O’Brady was an actor known for his role in Roberto Rossellini’s 1952 Italian drama film "Europa ’51."
|
E1226242
|
NE FINISHED |
How this triple was built (4 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: Frédéric O’Brady | Statement: [Europa ’51, starring, Frédéric O’Brady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frédéric O’Brady Context triple: [Europa ’51, starring, Frédéric O’Brady]
-
A.
Christian O'Connell
Christian O'Connell is a British radio DJ, comedian, and author best known for hosting popular breakfast shows in the UK and Australia.
-
B.
Nick O'Brien
Nick O'Brien is a hard-edged, morally ambiguous Los Angeles County Sheriff's detective who leads an elite unit in the crime thriller film "Den of Thieves."
-
C.
Andrew O'Connor
Andrew O'Connor is a British television producer, director, and former magician and comedian known for creating and producing popular entertainment and game shows.
-
D.
Graham O'Brien
Graham O'Brien is a companion of the Thirteenth Doctor in the long-running British science fiction television series Doctor Who.
-
E.
Jules O'Loughlin
Jules O'Loughlin is an Australian cinematographer known for his work on films such as the 2015 horror-comedy "Krampus."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Frédéric O’Brady Triple: [Europa ’51, starring, Frédéric O’Brady]
Generated description
Frédéric O’Brady was an actor known for his role in Roberto Rossellini’s 1952 Italian drama film "Europa ’51."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frédéric O’Brady Target entity description: Frédéric O’Brady was an actor known for his role in Roberto Rossellini’s 1952 Italian drama film "Europa ’51."
-
A.
Christian O'Connell
Christian O'Connell is a British radio DJ, comedian, and author best known for hosting popular breakfast shows in the UK and Australia.
-
B.
Nick O'Brien
Nick O'Brien is a hard-edged, morally ambiguous Los Angeles County Sheriff's detective who leads an elite unit in the crime thriller film "Den of Thieves."
-
C.
Andrew O'Connor
Andrew O'Connor is a British television producer, director, and former magician and comedian known for creating and producing popular entertainment and game shows.
-
D.
Graham O'Brien
Graham O'Brien is a companion of the Thirteenth Doctor in the long-running British science fiction television series Doctor Who.
-
E.
Jules O'Loughlin
Jules O'Loughlin is an Australian cinematographer known for his work on films such as the 2015 horror-comedy "Krampus."
- F. None of above. chosen
Provenance (5 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad85ec881909dc6a434a363dab1 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084c2a8448190a9f05bc7e1ce7a05 |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a008607434481909d41e7b8d6f9a4a3 |
completed | May 10, 2026, 1:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00868e55dc8190bfc7cd1b78ec4d6d |
completed | May 10, 2026, 1:22 p.m. |
Created at: April 10, 2026, 5:18 a.m.