Triple
T15310778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Another Year |
E366029
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Oliver Maltman
Oliver Maltman is a British actor known for his work in film, television, and theatre, including a notable role in Mike Leigh's drama "Another Year."
|
E1150930
|
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: Oliver Maltman | Statement: [Another Year, stars, Oliver Maltman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver Maltman Context triple: [Another Year, stars, Oliver Maltman]
-
A.
Oliver Lambert
Oliver Lambert is the protagonist of the legal thriller "The Firm," around whom the story’s central conflicts and developments revolve.
-
B.
Oliver Martin
Oliver Martin is the romantic lead in the film "A Lot Like Love," whose evolving relationship with Emily over several years forms the heart of the story.
-
C.
Oliver Marchant
Oliver Marchant is a central character in Helen Fielding’s novel "Cause Celeb," involved in the world of celebrity and humanitarian aid.
-
D.
Oliver Clement
Oliver Clement is an actor known for portraying the iconic Doctor Who villain, the Master.
-
E.
Oliver Lacon
Oliver Lacon is a senior British intelligence bureaucrat in John le Carré’s George Smiley novels, serving as a high-ranking civil servant overseeing the Secret Service.
- 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: Oliver Maltman Triple: [Another Year, stars, Oliver Maltman]
Generated description
Oliver Maltman is a British actor known for his work in film, television, and theatre, including a notable role in Mike Leigh's drama "Another Year."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oliver Maltman Target entity description: Oliver Maltman is a British actor known for his work in film, television, and theatre, including a notable role in Mike Leigh's drama "Another Year."
-
A.
Oliver Lambert
Oliver Lambert is the protagonist of the legal thriller "The Firm," around whom the story’s central conflicts and developments revolve.
-
B.
Oliver Martin
Oliver Martin is the romantic lead in the film "A Lot Like Love," whose evolving relationship with Emily over several years forms the heart of the story.
-
C.
Oliver Marchant
Oliver Marchant is a central character in Helen Fielding’s novel "Cause Celeb," involved in the world of celebrity and humanitarian aid.
-
D.
Oliver Clement
Oliver Clement is an actor known for portraying the iconic Doctor Who villain, the Master.
-
E.
Oliver Lacon
Oliver Lacon is a senior British intelligence bureaucrat in John le Carré’s George Smiley novels, serving as a high-ranking civil servant overseeing the Secret Service.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd176708190b0f6ba17aed92f8e |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01e70a308190a7d6b91178c39bd3 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff02745d1c819099f6261eced78dd0 |
completed | May 9, 2026, 9:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff031d58048190852dae8a18981d35 |
completed | May 9, 2026, 9:49 a.m. |
Created at: April 10, 2026, 3:16 a.m.