Triple
T11956609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Younger |
E284568
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Diana Trout
Diana Trout is a formidable and often antagonistic publishing executive in the TV series "Younger," known for her sharp wit, ambition, and complex relationship with the show's protagonist.
|
E956128
|
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: Diana Trout | Statement: [Younger, mainCharacter, Diana Trout]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diana Trout Context triple: [Younger, mainCharacter, Diana Trout]
-
A.
Diana Graves
Diana Graves is known as the wife of English character actor Michael Gough, famed for his role as Alfred in the Batman film series.
-
B.
Dorys Madden
Dorys Madden is best known as the wife of Basketball Hall of Famer Julius "Dr. J" Erving.
-
C.
Diana Rathbun
Diana Rathbun is a film producer best known for her work on the epic historical war movie "Troy."
-
D.
Birdee Pruitt
Birdee Pruitt is the small-town Texas woman, played by Sandra Bullock in the film "Hope Floats," who must rebuild her life and self-worth after a humiliating, nationally televised divorce.
-
E.
Ruby Holbrook
Ruby Holbrook was the wife of acclaimed American actor Hal Holbrook.
- 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: Diana Trout Triple: [Younger, mainCharacter, Diana Trout]
Generated description
Diana Trout is a formidable and often antagonistic publishing executive in the TV series "Younger," known for her sharp wit, ambition, and complex relationship with the show's protagonist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diana Trout Target entity description: Diana Trout is a formidable and often antagonistic publishing executive in the TV series "Younger," known for her sharp wit, ambition, and complex relationship with the show's protagonist.
-
A.
Diana Graves
Diana Graves is known as the wife of English character actor Michael Gough, famed for his role as Alfred in the Batman film series.
-
B.
Dorys Madden
Dorys Madden is best known as the wife of Basketball Hall of Famer Julius "Dr. J" Erving.
-
C.
Diana Rathbun
Diana Rathbun is a film producer best known for her work on the epic historical war movie "Troy."
-
D.
Birdee Pruitt
Birdee Pruitt is the small-town Texas woman, played by Sandra Bullock in the film "Hope Floats," who must rebuild her life and self-worth after a humiliating, nationally televised divorce.
-
E.
Ruby Holbrook
Ruby Holbrook was the wife of acclaimed American actor Hal Holbrook.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90366fda8819083168c93abad27d4 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f459175f808190974ac70431f35c74 |
completed | May 1, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69f4645ef63881909b46937f73d637a3 |
completed | May 1, 2026, 8:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f465be4db08190882898a17d077019 |
completed | May 1, 2026, 8:35 a.m. |
Created at: April 8, 2026, 9:45 p.m.