Triple
T23370031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trust Nobody |
E593441
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Trust Nobody |
—
|
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 Nobody | Statement: [Trust Nobody, hasTitle, Trust Nobody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trust Nobody Context triple: [Trust Nobody, hasTitle, Trust Nobody]
-
A.
Trust Nobody
chosen
"Trust Nobody" is a track featured on the album "Funeral."
-
B.
Trust No One
Trust No One is a studio album by American groove metal band DevilDriver, known for its aggressive sound and lineup changes during its creation.
-
C.
Trust No Man
"Trust No Man" is a blues song by pioneering early 20th-century American singer Ma Rainey, reflecting her powerful vocal style and themes of hardship and mistrust in relationships.
-
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 a popular contemporary gospel song by Richard Smallwood known for its comforting message of faith and reliance on God.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0aff84c8190a5a6bf52adae1c9a |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:32 p.m.