Triple
T6585857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trust Me |
E159218
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object |
Trust Me
Trust Me is the title of various creative works, most commonly known as a television series name used for multiple drama and thriller shows.
|
E246927
|
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: Trust Me | Statement: [Trust Me, title, Trust Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trust Me Context triple: [Trust Me, title, Trust Me]
-
A.
Trust Me
"Trust Me" is a song by the American rock band Culture, recognized as one of their notable works.
-
B.
Trust Me
Trust Me is a British medical thriller television series that follows a nurse who assumes a doctor’s identity, known in part for starring Jodie Whittaker before her role in Doctor Who.
-
C.
Trust Me
Trust Me is a short story collection by American author John Updike that explores themes of family, faith, and middle-class life in contemporary America.
-
D.
Trust in Me
"Trust in Me" is a hypnotic song from Disney's 1967 animated film *The Jungle Book*, performed by the snake Kaa and written by the songwriting duo the Sherman Brothers.
-
E.
Confide in Me
"Confide in Me" is a 1994 trip hop–influenced pop song by Kylie Minogue that marked a darker, more sophisticated shift in her musical style and became one of her signature tracks.
- 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: Trust Me Triple: [Trust Me, title, Trust Me]
Generated description
Trust Me is the title of various creative works, most commonly known as a television series name used for multiple drama and thriller shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trust Me Target entity description: Trust Me is the title of various creative works, most commonly known as a television series name used for multiple drama and thriller shows.
-
A.
Trust Me
"Trust Me" is a song by the American rock band Culture, recognized as one of their notable works.
-
B.
Trust Me
chosen
Trust Me is a British medical thriller television series that follows a nurse who assumes a doctor’s identity, known in part for starring Jodie Whittaker before her role in Doctor Who.
-
C.
Trust Me
Trust Me is a short story collection by American author John Updike that explores themes of family, faith, and middle-class life in contemporary America.
-
D.
Trust in Me
"Trust in Me" is a hypnotic song from Disney's 1967 animated film *The Jungle Book*, performed by the snake Kaa and written by the songwriting duo the Sherman Brothers.
-
E.
Confide in Me
"Confide in Me" is a 1994 trip hop–influenced pop song by Kylie Minogue that marked a darker, more sophisticated shift in her musical style and became one of her signature tracks.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6aeae89308190a26cf090a9b6cf2b |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d576ab288190ac7e7b58e974697c |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d828620081909c1b4dfaa96efd62 |
completed | March 27, 2026, 7:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d8a3d194819080f33e179a8a8679 |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 1:54 p.m.