Triple
T7987080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remember WENN |
E185707
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Maple LaMarsh
Maple LaMarsh is a quirky, ambitious switchboard operator and aspiring performer on the 1940s-set television series "Remember WENN."
|
E702735
|
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: Maple LaMarsh | Statement: [Remember WENN, hasMainCharacter, Maple LaMarsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maple LaMarsh Context triple: [Remember WENN, hasMainCharacter, Maple LaMarsh]
-
A.
Maple Sylvie Bateman
Maple Sylvie Bateman is the daughter of American actor and filmmaker Jason Bateman and his wife Amanda Anka.
-
B.
Marla Maples
Marla Maples is an American actress and television personality best known for her high-profile marriage to businessman and future U.S. President Donald Trump in the 1990s.
-
C.
Clair Popkin
Clair Popkin is a cinematographer best known for his work on the acclaimed rock-climbing documentary film "Free Solo."
-
D.
Mabel Trunnelle
Mabel Trunnelle was an American silent film actress active in the early 20th century, known for her work with the Edison Manufacturing Company.
-
E.
Mae Marsh
Mae Marsh was an American silent film actress best known for her emotionally powerful performances in early cinema, particularly in D.W. Griffith’s landmark films.
- 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: Maple LaMarsh Triple: [Remember WENN, hasMainCharacter, Maple LaMarsh]
Generated description
Maple LaMarsh is a quirky, ambitious switchboard operator and aspiring performer on the 1940s-set television series "Remember WENN."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maple LaMarsh Target entity description: Maple LaMarsh is a quirky, ambitious switchboard operator and aspiring performer on the 1940s-set television series "Remember WENN."
-
A.
Maple Sylvie Bateman
Maple Sylvie Bateman is the daughter of American actor and filmmaker Jason Bateman and his wife Amanda Anka.
-
B.
Marla Maples
Marla Maples is an American actress and television personality best known for her high-profile marriage to businessman and future U.S. President Donald Trump in the 1990s.
-
C.
Clair Popkin
Clair Popkin is a cinematographer best known for his work on the acclaimed rock-climbing documentary film "Free Solo."
-
D.
Mabel Trunnelle
Mabel Trunnelle was an American silent film actress active in the early 20th century, known for her work with the Edison Manufacturing Company.
-
E.
Mae Marsh
Mae Marsh was an American silent film actress best known for her emotionally powerful performances in early cinema, particularly in D.W. Griffith’s landmark films.
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c4d11b08190aa13afb17155462c |
completed | March 31, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0ed61588190b01423061acfce49 |
completed | March 31, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69cbe43f883081908768a7314409b622 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc34c6cf6881909b28a0b6882b518d |
completed | March 31, 2026, 8:55 p.m. |
Created at: March 30, 2026, 5:15 p.m.