Triple
T15199251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hysteria |
E363220
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Stephen Dyer
Stephen Dyer is a screenwriter best known for co-writing the 2011 romantic comedy film "Hysteria."
|
E1172862
|
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: Stephen Dyer | Statement: [Hysteria, screenwriter, Stephen Dyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Dyer Context triple: [Hysteria, screenwriter, Stephen Dyer]
-
A.
Phil Davies
Phil Davies is a British television producer best known for his work on the popular animated children's series "Peppa Pig."
-
B.
Phil Dowson
Phil Dowson is a former English rugby union player and current coach, best known for his long Premiership career with clubs like Newcastle Falcons and Northampton Saints and for representing England at international level.
-
C.
Glyn Jessop
Glyn Jessop is a former English cricketer who played at the first-class level.
-
D.
Ronald Dacey
Ronald Dacey is a central character in the television series "StartUp," portrayed as a skilled but conflicted gang leader who becomes an unlikely tech entrepreneur.
-
E.
Roger Lupton
Roger Lupton was a 16th-century English clergyman and educational benefactor best known for his role in establishing Sedbergh School.
- 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: Stephen Dyer Triple: [Hysteria, screenwriter, Stephen Dyer]
Generated description
Stephen Dyer is a screenwriter best known for co-writing the 2011 romantic comedy film "Hysteria."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Dyer Target entity description: Stephen Dyer is a screenwriter best known for co-writing the 2011 romantic comedy film "Hysteria."
-
A.
Phil Davies
Phil Davies is a British television producer best known for his work on the popular animated children's series "Peppa Pig."
-
B.
Phil Dowson
Phil Dowson is a former English rugby union player and current coach, best known for his long Premiership career with clubs like Newcastle Falcons and Northampton Saints and for representing England at international level.
-
C.
Glyn Jessop
Glyn Jessop is a former English cricketer who played at the first-class level.
-
D.
Ronald Dacey
Ronald Dacey is a central character in the television series "StartUp," portrayed as a skilled but conflicted gang leader who becomes an unlikely tech entrepreneur.
-
E.
Roger Lupton
Roger Lupton was a 16th-century English clergyman and educational benefactor best known for his role in establishing Sedbergh School.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b476208190a5119710c518bb1f |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff755e0f2c819088293d8a55d7883a |
completed | May 9, 2026, 5:56 p.m. |
| NEDg | Description generation | batch_69ff762c0c548190a80392e1e83f68cc |
completed | May 9, 2026, 6 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff76fbcd188190b431bf277304aeea |
completed | May 9, 2026, 6:03 p.m. |
Created at: April 10, 2026, 3:10 a.m.