Triple
T18806102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gypsy Rose Blanchard |
E459877
|
entity |
| Predicate | subjectOf |
P38
|
FINISHED |
| Object | Hulu series "The Act" |
—
|
NE NERFINISHED |
How this triple was built (3 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: Hulu series "The Act" | Statement: [Gypsy Rose Blanchard, subjectOf, Hulu series "The Act"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hulu series "The Act" Context triple: [Gypsy Rose Blanchard, subjectOf, Hulu series "The Act"]
-
A.
HBO series Looking
HBO series Looking is a dramedy that follows a group of gay friends navigating love, careers, and identity in contemporary San Francisco.
-
B.
House of Cards
House of Cards is a critically acclaimed American political drama series known for its dark portrayal of power and corruption in Washington, D.C., starring Kevin Spacey and Robin Wright.
-
C.
television series Younger
Younger is an American comedy-drama television series that follows a 40-year-old woman who pretends to be in her 20s to reenter the publishing industry, created by Darren Star and known for its sharp take on age, career, and relationships.
-
D.
Orange Is the New Black
Orange Is the New Black is a critically acclaimed American comedy-drama television series set in a women's prison, known for its diverse ensemble cast and exploration of social and criminal justice issues.
-
E.
Netflix series The Lincoln Lawyer
The Netflix series "The Lincoln Lawyer" is a legal drama based on Michael Connelly’s novels, following charismatic defense attorney Mickey Haller as he runs his law practice from the back seat of his Lincoln Town Car in Los Angeles.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hulu series "The Act" Target entity description: The Hulu series "The Act" is a true-crime drama that chronicles the real-life story of Gypsy Rose Blanchard and the shocking murder of her abusive, manipulative mother.
-
A.
HBO series Looking
HBO series Looking is a dramedy that follows a group of gay friends navigating love, careers, and identity in contemporary San Francisco.
-
B.
House of Cards
House of Cards is a critically acclaimed American political drama series known for its dark portrayal of power and corruption in Washington, D.C., starring Kevin Spacey and Robin Wright.
-
C.
television series Younger
Younger is an American comedy-drama television series that follows a 40-year-old woman who pretends to be in her 20s to reenter the publishing industry, created by Darren Star and known for its sharp take on age, career, and relationships.
-
D.
Orange Is the New Black
Orange Is the New Black is a critically acclaimed American comedy-drama television series set in a women's prison, known for its diverse ensemble cast and exploration of social and criminal justice issues.
-
E.
Netflix series The Lincoln Lawyer
The Netflix series "The Lincoln Lawyer" is a legal drama based on Michael Connelly’s novels, following charismatic defense attorney Mickey Haller as he runs his law practice from the back seat of his Lincoln Town Car in Los Angeles.
- F. None of above. chosen
Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3d7f8d08190a3e02fab6dc40bb5 |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.