Triple
T22905623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wrld on Drugs |
E568435
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Jet Lag |
—
|
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: Jet Lag | Statement: [Wrld on Drugs, hasPart, Jet Lag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jet Lag Context triple: [Wrld on Drugs, hasPart, Jet Lag]
-
A.
Jet Lag
chosen
"Jet Lag" is a pop-punk song by Canadian band Simple Plan, best known for its catchy melody and theme of long-distance relationships.
-
B.
Layover
"Layover" is an R&B studio album by American vocal group Jagged Edge, showcasing their smooth harmonies and contemporary soul sound.
-
C.
The Layover
The Layover is a 2017 American comedy film starring Kate Upton and Alexandra Daddario as best friends whose vacation turns into a chaotic rivalry over the same man.
-
D.
Night Shift
"Night Shift" is a 1978 collection of horror and suspense short stories by Stephen King that helped establish his reputation as a master of the genre.
-
E.
Night Shift
"Night Shift" is a critically acclaimed indie rock song by American singer-songwriter Lucy Dacus, known for its emotionally raw lyrics and slow-building, cathartic arrangement.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180198fe88190b2f8c2a827d95fdc |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.