Triple
T18657287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trust No One |
E456098
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sunny Day |
—
|
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: Sunny Day | Statement: [Trust No One, hasPart, Sunny Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunny Day Context triple: [Trust No One, hasPart, Sunny Day]
-
A.
Sunny Day
chosen
"Sunny Day" is an R&B song by Brandy featured on her self-titled debut studio album.
-
B.
Sunny Day
Sunny Day is an animated children's television series about a talented young hairstylist and problem-solver who runs a salon in the colorful town of Friendly Falls.
-
C.
Sunny Days
"Sunny Days" is a song by the musical group Arm in Arm.
-
D.
Sunny Sunday
"Sunny Sunday" is a song featured on Joni Mitchell's 1994 album *Turbulent Indigo*.
-
E.
Uncloudy Day
"Uncloudy Day" is a traditional Christian hymn, often associated with gospel and country music, that has been widely recorded and adapted by various artists.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e550864b0481909e59fbcc79fda839 |
completed | April 19, 2026, 10 p.m. |
Created at: April 10, 2026, 11:48 a.m.