Triple
T16675519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Through the Looking Glass |
E405206
|
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: [Through the Looking Glass, hasTrack, Trust in Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trust in Me Context triple: [Through the Looking Glass, 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 You
"Trust You" is a hip-hop track by Pusha T from his 2013 mixtape *Wrath of Caine*.
-
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.
Trust Me
Trust Me is an American television drama series that explores the high-pressure world of advertising through the personal and professional struggles of two creative executives.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6a1960819098c5e3385693a87a |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3ab8b481908b333b6a556a58d5 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.