Triple
T16379581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boys from County Hell |
E397763
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Michael Hough
Michael Hough is an actor known for his role in the Irish horror-comedy film "Boys from County Hell."
|
E1211102
|
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: Michael Hough | Statement: [Boys from County Hell, castMember, Michael Hough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Hough Context triple: [Boys from County Hell, castMember, Michael Hough]
-
A.
Peter Lassally
Peter Lassally is a veteran television producer best known for shaping and overseeing several iconic late-night talk shows, including those hosted by David Letterman and Johnny Carson.
-
B.
Michael Fallon
Michael Fallon is a British Conservative politician who served as the UK Secretary of State for Defence from 2014 to 2017.
-
C.
Pat Hughes
Pat Hughes is a longtime American sportscaster best known as the radio play-by-play voice of Major League Baseball’s Chicago Cubs.
-
D.
Michael Hamlyn
Michael Hamlyn is a film producer best known for his work on the acclaimed Australian comedy-drama "The Adventures of Priscilla, Queen of the Desert."
-
E.
Michele Marsh
Michele Marsh is an American actress best known for her role as Hodel in the 1971 film adaptation of the musical "Fiddler on the Roof."
- 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: Michael Hough Triple: [Boys from County Hell, castMember, Michael Hough]
Generated description
Michael Hough is an actor known for his role in the Irish horror-comedy film "Boys from County Hell."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Hough Target entity description: Michael Hough is an actor known for his role in the Irish horror-comedy film "Boys from County Hell."
-
A.
Peter Lassally
Peter Lassally is a veteran television producer best known for shaping and overseeing several iconic late-night talk shows, including those hosted by David Letterman and Johnny Carson.
-
B.
Michael Fallon
Michael Fallon is a British Conservative politician who served as the UK Secretary of State for Defence from 2014 to 2017.
-
C.
Pat Hughes
Pat Hughes is a longtime American sportscaster best known as the radio play-by-play voice of Major League Baseball’s Chicago Cubs.
-
D.
Michael Hamlyn
Michael Hamlyn is a film producer best known for his work on the acclaimed Australian comedy-drama "The Adventures of Priscilla, Queen of the Desert."
-
E.
Michele Marsh
Michele Marsh is an American actress best known for her role as Hodel in the 1971 film adaptation of the musical "Fiddler on the Roof."
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319da3c6c8190a9ccf744996c31e8 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356658e881908131a3c60ed5499d |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a00383a7180819092ea605aa8ef1672 |
completed | May 10, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00391645ac819092a06dc6813604fa |
completed | May 10, 2026, 7:51 a.m. |
Created at: April 10, 2026, 5:08 a.m.