Triple
T7418163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katy Hudson |
E171179
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Trust in Me |
E118043
|
NE FINISHED |
How this triple was built (2 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 in Me | Statement: [Katy Hudson, hasTrack, Trust in Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trust in Me Context triple: [Katy Hudson, hasTrack, Trust in Me]
-
A.
Trust in Me
chosen
"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.
-
B.
Trust Me
"Trust Me" is a song by the American rock band Culture, recognized as one of their notable works.
-
C.
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.
-
D.
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.
-
E.
Believe in Me
"Believe in Me" is the debut solo album by Guns N' Roses bassist Duff McKagan, showcasing his blend of hard rock, punk, and alternative influences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c9314c8190855b79a2e6ef3e9b |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81eed92888190bf9d11ab91378fa9 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:11 p.m.