Triple
T10010849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M.I.L.F. $ |
E198366
|
entity |
| Predicate | featuresInMusicVideo |
P3289
|
FINISHED |
| Object |
Angela Lindvall
Angela Lindvall is an American supermodel and actress known for her work with major fashion houses and appearances in films and music videos.
|
E874711
|
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: Angela Lindvall | Statement: [M.I.L.F. $, featuresInMusicVideo, Angela Lindvall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angela Lindvall Context triple: [M.I.L.F. $, featuresInMusicVideo, Angela Lindvall]
-
A.
Annette Stroyberg
Annette Stroyberg was a Danish actress and model best known for her roles in European films of the late 1950s and 1960s.
-
B.
Lesley Selander
Lesley Selander was a prolific American film director best known for his work on mid-20th-century Westerns and action pictures.
-
C.
Christine Lund
Christine Lund is known as the spouse of Pulitzer Prize–winning American editorial cartoonist Bill Mauldin.
-
D.
Rena Lundigan
Rena Lundigan is best known as the wife of American film and television actor William Lundigan.
-
E.
Linda Villumsen
Linda Villumsen is a Danish-born New Zealand professional road cyclist renowned for her time-trialling prowess and multiple world championship medals.
- 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: Angela Lindvall Triple: [M.I.L.F. $, featuresInMusicVideo, Angela Lindvall]
Generated description
Angela Lindvall is an American supermodel and actress known for her work with major fashion houses and appearances in films and music videos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angela Lindvall Target entity description: Angela Lindvall is an American supermodel and actress known for her work with major fashion houses and appearances in films and music videos.
-
A.
Annette Stroyberg
Annette Stroyberg was a Danish actress and model best known for her roles in European films of the late 1950s and 1960s.
-
B.
Lesley Selander
Lesley Selander was a prolific American film director best known for his work on mid-20th-century Westerns and action pictures.
-
C.
Christine Lund
Christine Lund is known as the spouse of Pulitzer Prize–winning American editorial cartoonist Bill Mauldin.
-
D.
Rena Lundigan
Rena Lundigan is best known as the wife of American film and television actor William Lundigan.
-
E.
Linda Villumsen
Linda Villumsen is a Danish-born New Zealand professional road cyclist renowned for her time-trialling prowess and multiple world championship medals.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd3b68888190b8a325b52d57c5b8 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e38789881909e45e8d0b0489a59 |
completed | April 10, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69d95f508b6481909405f0404246c69e |
completed | April 10, 2026, 8:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9600a29808190af583d2fd696ec6a |
completed | April 10, 2026, 8:39 p.m. |
Created at: March 30, 2026, 8:52 p.m.