Triple
T10836504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Royal Family |
E255771
|
entity |
| Predicate | alsoStarring |
P14987
|
FINISHED |
| Object |
Mariann Aalda
Mariann Aalda is an American actress and comedian best known for her work in television sitcoms and soap operas, including a pioneering role as one of the first Black daytime soap opera heroines.
|
E952083
|
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: Mariann Aalda | Statement: [The Royal Family, alsoStarring, Mariann Aalda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariann Aalda Context triple: [The Royal Family, alsoStarring, Mariann Aalda]
-
A.
Milynn Sarley
Milynn Sarley is an American actress and internet personality known for her roles in low-budget fantasy and action films as well as her presence in online geek and gaming communities.
-
B.
Laura Rister
Laura Rister is a film producer and executive known for her work on independent and prestige projects, including the financial thriller "Margin Call."
-
C.
Annette Stroyberg
Annette Stroyberg was a Danish actress and model best known for her roles in European films of the late 1950s and 1960s.
-
D.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
E.
Colleen Ahland
Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
- 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: Mariann Aalda Triple: [The Royal Family, alsoStarring, Mariann Aalda]
Generated description
Mariann Aalda is an American actress and comedian best known for her work in television sitcoms and soap operas, including a pioneering role as one of the first Black daytime soap opera heroines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mariann Aalda Target entity description: Mariann Aalda is an American actress and comedian best known for her work in television sitcoms and soap operas, including a pioneering role as one of the first Black daytime soap opera heroines.
-
A.
Milynn Sarley
Milynn Sarley is an American actress and internet personality known for her roles in low-budget fantasy and action films as well as her presence in online geek and gaming communities.
-
B.
Laura Rister
Laura Rister is a film producer and executive known for her work on independent and prestige projects, including the financial thriller "Margin Call."
-
C.
Annette Stroyberg
Annette Stroyberg was a Danish actress and model best known for her roles in European films of the late 1950s and 1960s.
-
D.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
E.
Colleen Ahland
Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d746ff70148190b844ab92d796af6c |
completed | April 9, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f2802d74f081909c7af34bf266ae01 |
completed | April 29, 2026, 10:03 p.m. |
| NEDg | Description generation | batch_69f28b7db84c8190b4c2b22a7465cf97 |
completed | April 29, 2026, 10:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f2a0e8861c8190a9ac8e0f488f4a95 |
completed | April 30, 2026, 12:23 a.m. |
Created at: April 8, 2026, 9:19 p.m.