Triple
T16408993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharon Charles |
E398509
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object |
Obsessed
Obsessed is a 2009 psychological thriller film about a successful executive whose life unravels when a temp employee becomes dangerously fixated on him.
|
E38396
|
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: Obsessed | Statement: [Sharon Charles, appearsIn, Obsessed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obsessed Context triple: [Sharon Charles, appearsIn, Obsessed]
-
A.
Obsessed
"Obsessed" is a 2009 R&B/pop single by Mariah Carey, known for its confrontational lyrics and catchy hook, widely interpreted as a response to rapper Eminem.
-
B.
Obsessed
Obsessed is a social media account or online persona that is followed by the user Cinco.
-
C.
Obsessed
"Obsessed" is a crime thriller novel in the Michael Bennett series by James Patterson, following the NYPD detective as he tackles a particularly personal and dangerous case.
-
D.
Obsessed
Obsessed is a work by creator Ken Seng, recognized as one of his notable contributions to his field.
-
E.
Obsessed
Obsessed is a psychological thriller film centered on a woman whose dangerous fixation threatens the life and marriage of the character played by Lisa Sheridan.
- 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: Obsessed Triple: [Sharon Charles, appearsIn, Obsessed]
Generated description
Obsessed is a 2009 psychological thriller film about a successful executive whose life unravels when a temp employee becomes dangerously fixated on him.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Obsessed Target entity description: Obsessed is a 2009 psychological thriller film about a successful executive whose life unravels when a temp employee becomes dangerously fixated on him.
-
A.
Obsessed
chosen
Obsessed is a 2009 psychological thriller film starring Idris Elba, Beyoncé, and Ali Larter about a successful executive whose life unravels when a temp employee becomes dangerously fixated on him.
-
B.
Obsessed
Obsessed is a psychological thriller film centered on a woman whose dangerous fixation threatens the life and marriage of the character played by Lisa Sheridan.
-
C.
Obsessed
"Obsessed" is a crime thriller novel in the Michael Bennett series by James Patterson, following the NYPD detective as he tackles a particularly personal and dangerous case.
-
D.
Obsessed
"Obsessed" is a 2009 R&B/pop single by Mariah Carey, known for its confrontational lyrics and catchy hook, widely interpreted as a response to rapper Eminem.
-
E.
Obsessed
Obsessed is a social media account or online persona that is followed by the user Cinco.
- F. None of above.
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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32871bce08190addd637413473c87 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c64a05c8190a59e800ce2318052 |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003dfdd4f88190b86db12bb9c7217a |
completed | May 10, 2026, 8:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003e953ca88190bb7c64c12a46c666 |
completed | May 10, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:09 a.m.