Triple
T4663136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily-Rose Depp |
E102780
|
entity |
| Predicate | role |
P268
|
FINISHED |
| Object |
Jocelyn in The Idol
Jocelyn in *The Idol* is a troubled pop star navigating fame, trauma, and a manipulative relationship in the HBO drama series.
|
E455585
|
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: Jocelyn in The Idol | Statement: [Lily-Rose Depp, role, Jocelyn in The Idol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jocelyn in The Idol Context triple: [Lily-Rose Depp, role, Jocelyn in The Idol]
-
A.
Tiana Rogers
Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
-
B.
Felicia Gallant
Felicia Gallant is a glamorous, strong-willed romance novelist and socialite who became one of the most iconic and enduring characters on the soap opera *Another World*.
-
C.
Adrienne
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
D.
Jacelyn Reeves
Jacelyn Reeves is an American former flight attendant best known as the mother of actor Scott Eastwood and for her past relationship with Clint Eastwood.
-
E.
Jenna
Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
- 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: Jocelyn in The Idol Triple: [Lily-Rose Depp, role, Jocelyn in The Idol]
Generated description
Jocelyn in *The Idol* is a troubled pop star navigating fame, trauma, and a manipulative relationship in the HBO drama series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jocelyn in The Idol Target entity description: Jocelyn in *The Idol* is a troubled pop star navigating fame, trauma, and a manipulative relationship in the HBO drama series.
-
A.
Tiana Rogers
Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
-
B.
Felicia Gallant
Felicia Gallant is a glamorous, strong-willed romance novelist and socialite who became one of the most iconic and enduring characters on the soap opera *Another World*.
-
C.
Adrienne
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
D.
Jacelyn Reeves
Jacelyn Reeves is an American former flight attendant best known as the mother of actor Scott Eastwood and for her past relationship with Clint Eastwood.
-
E.
Jenna
Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd632d6150819085bab97021c0235a |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfafe60548190ae00b13dcdacebcd |
completed | March 21, 2026, 1:57 a.m. |
| NEDg | Description generation | batch_69bdfb71da488190ba1fefcd6c047943 |
completed | March 21, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfc1ffaec81909fc13b647e2c5fa9 |
completed | March 21, 2026, 2:02 a.m. |
Created at: March 20, 2026, 1:15 p.m.