Triple
T15811083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hang Time |
E383353
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Megan Parlen
Megan Parlen is an American actress best known for her role as Mary-Beth Pepperton on the 1990s teen sitcom "Hang Time."
|
E1187390
|
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: Megan Parlen | Statement: [Hang Time, hasCastMember, Megan Parlen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Parlen Context triple: [Hang Time, hasCastMember, Megan Parlen]
-
A.
Megan Everett
Megan Everett is a writer and producer best known as the wife of Swedish actor Stellan Skarsgård.
-
B.
Megan Parker
Megan Parker is the mischievous, prank-loving younger sister character from the Nickelodeon sitcom "Drake & Josh."
-
C.
Megan Brock
Megan Brock is a character in John Grisham’s legal thriller "The Street Lawyer," involved in the novel’s exploration of homelessness, justice, and moral responsibility.
-
D.
Megan Dodds
Megan Dodds is an American actress known for her work in film, television, and theatre, including roles in projects like "Ever After," "Spooks," and various stage productions in London’s West End.
-
E.
Megan Gill
Megan Gill is a film editor best known for her work on major feature films, including the superhero movie "X-Men Origins: Wolverine."
- 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: Megan Parlen Triple: [Hang Time, hasCastMember, Megan Parlen]
Generated description
Megan Parlen is an American actress best known for her role as Mary-Beth Pepperton on the 1990s teen sitcom "Hang Time."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Megan Parlen Target entity description: Megan Parlen is an American actress best known for her role as Mary-Beth Pepperton on the 1990s teen sitcom "Hang Time."
-
A.
Megan Everett
Megan Everett is a writer and producer best known as the wife of Swedish actor Stellan Skarsgård.
-
B.
Megan Parker
Megan Parker is the mischievous, prank-loving younger sister character from the Nickelodeon sitcom "Drake & Josh."
-
C.
Megan Brock
Megan Brock is a character in John Grisham’s legal thriller "The Street Lawyer," involved in the novel’s exploration of homelessness, justice, and moral responsibility.
-
D.
Megan Dodds
Megan Dodds is an American actress known for her work in film, television, and theatre, including roles in projects like "Ever After," "Spooks," and various stage productions in London’s West End.
-
E.
Megan Gill
Megan Gill is a film editor best known for her work on major feature films, including the superhero movie "X-Men Origins: Wolverine."
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52aae14819091de08630e7e1d1a |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3b4378c81908850161988a03b9e |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc45e6ff48190bb7b82adb4161ad0 |
completed | May 9, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc4cea4108190927b107fc24df597 |
completed | May 9, 2026, 11:35 p.m. |
Created at: April 10, 2026, 4:49 a.m.