Triple
T10367689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teachers |
E244296
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Matt Horne
Matt Horne is a British actor and comedian best known for his work on the television series "Gavin & Stacey" and various sketch and comedy shows.
|
E860653
|
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: Matt Horne | Statement: [Teachers, hasCastMember, Matt Horne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Horne Context triple: [Teachers, hasCastMember, Matt Horne]
-
A.
Adam Hann-Byrd
Adam Hann-Byrd is an American actor best known for his childhood role as a prodigy in the film "Little Man Tate."
-
B.
Jonny Keeling
Jonny Keeling is a British television producer known for his work on major BBC natural history documentaries.
-
C.
Luke Monaghan
Luke Monaghan is the brother of actor Dominic Monaghan, known for his work behind the camera as a director and filmmaker.
-
D.
Daniel Millar
Daniel Millar is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
E.
Luke Morley
Luke Morley is an English rock guitarist and songwriter best known as a founding member and primary songwriter of the band Thunder.
- 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: Matt Horne Triple: [Teachers, hasCastMember, Matt Horne]
Generated description
Matt Horne is a British actor and comedian best known for his work on the television series "Gavin & Stacey" and various sketch and comedy shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Horne Target entity description: Matt Horne is a British actor and comedian best known for his work on the television series "Gavin & Stacey" and various sketch and comedy shows.
-
A.
Adam Hann-Byrd
Adam Hann-Byrd is an American actor best known for his childhood role as a prodigy in the film "Little Man Tate."
-
B.
Jonny Keeling
Jonny Keeling is a British television producer known for his work on major BBC natural history documentaries.
-
C.
Luke Monaghan
Luke Monaghan is the brother of actor Dominic Monaghan, known for his work behind the camera as a director and filmmaker.
-
D.
Daniel Millar
Daniel Millar is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
E.
Luke Morley
Luke Morley is an English rock guitarist and songwriter best known as a founding member and primary songwriter of the band Thunder.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97106448190a075948e63184f47 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d79546b078819089dec7628c95a681 |
completed | April 9, 2026, 12:02 p.m. |
| NEDg | Description generation | batch_69d7bdde34408190a047ede29b91e182 |
completed | April 9, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7e5fc6a008190b2a2326840074b53 |
completed | April 9, 2026, 5:46 p.m. |
Created at: April 6, 2026, noon