Triple
T20589526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land of Sand |
E505877
|
entity |
| Predicate | inspiredWork |
P1994
|
FINISHED |
| Object | Trust in Me (The Python’s Song) |
—
|
NE NERFINISHED |
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 (The Python’s Song) | Statement: [Land of Sand, inspiredWork, Trust in Me (The Python’s Song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trust in Me (The Python’s Song) Context triple: [Land of Sand, inspiredWork, Trust in Me (The Python’s Song)]
-
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 You
"Trust You" is a hip-hop track by Pusha T from his 2013 mixtape *Wrath of Caine*.
-
C.
Trust In You
"Trust In You" is a song by American punk rock band The Offspring from their 2008 album "Rise and Fall, Rage and Grace."
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a979e4a48190a948165fb0f3b265 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.