Triple
T18378189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blue Max |
E446370
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Derren Nesbitt
Derren Nesbitt is a British actor known for his character roles in film and television, particularly in war and crime dramas of the 1960s and 1970s.
|
E1321277
|
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: Derren Nesbitt | Statement: [The Blue Max, castMember, Derren Nesbitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derren Nesbitt Context triple: [The Blue Max, castMember, Derren Nesbitt]
-
A.
Darren Gilshenan
Darren Gilshenan is an Australian actor and comedian known for his work in television, film, and theatre, particularly in character and comic roles.
-
B.
Derek Twigg
Derek Twigg is a British Labour Party politician and Member of Parliament who has held several junior ministerial roles in UK government.
-
C.
Danny Dyer
Danny Dyer is an English actor and television personality best known for his tough-guy roles in British films and the soap opera EastEnders.
-
D.
Alec Clunes
Alec Clunes was a British actor and theatre manager known for his work on stage and in mid-20th-century British cinema.
-
E.
Darren Ritchie
Darren Ritchie is an American actor and singer known for his work in musical theatre and film.
- 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: Derren Nesbitt Triple: [The Blue Max, castMember, Derren Nesbitt]
Generated description
Derren Nesbitt is a British actor known for his character roles in film and television, particularly in war and crime dramas of the 1960s and 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Derren Nesbitt Target entity description: Derren Nesbitt is a British actor known for his character roles in film and television, particularly in war and crime dramas of the 1960s and 1970s.
-
A.
Darren Gilshenan
Darren Gilshenan is an Australian actor and comedian known for his work in television, film, and theatre, particularly in character and comic roles.
-
B.
Derek Twigg
Derek Twigg is a British Labour Party politician and Member of Parliament who has held several junior ministerial roles in UK government.
-
C.
Danny Dyer
Danny Dyer is an English actor and television personality best known for his tough-guy roles in British films and the soap opera EastEnders.
-
D.
Alec Clunes
Alec Clunes was a British actor and theatre manager known for his work on stage and in mid-20th-century British cinema.
-
E.
Darren Ritchie
Darren Ritchie is an American actor and singer known for his work in musical theatre and film.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179919c881908d55ea24f93c5827 |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d77ea9f481909d252120346498ab |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d83fe9a08190b18b9f61ee606372 |
completed | May 13, 2026, 1:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d915215c819090023094f1fc47f1 |
completed | May 13, 2026, 1:51 a.m. |
Created at: April 10, 2026, 10:45 a.m.