Triple
T27772045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Late Night with Jimmy Fallon Theme |
E701771
|
entity |
| Predicate | usedInProgramSegment |
P163893
|
FINISHED |
| Object | opening monologue |
—
|
LITERAL 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: opening monologue | Statement: [Late Night with Jimmy Fallon Theme, usedInProgramSegment, opening monologue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInProgramSegment Context triple: [Late Night with Jimmy Fallon Theme, usedInProgramSegment, opening monologue]
-
A.
usedByProgram
Indicates that a particular resource, component, or element is utilized or consumed by a specific program.
-
B.
occursInProgram
chosen
Indicates that an event, action, or element takes place within or is contained in a specific program.
-
C.
usedAsProgramFor
Indicates that one entity functions as the software or application used to operate, control, or provide services for another entity.
-
D.
laterUsedForProgram
Indicates that something is subsequently utilized as part of, or as input to, a program or programming process.
-
E.
usedInMethod
Indicates that something (such as a component, variable, or resource) is utilized or referenced within the execution or implementation of a particular method.
- F. None of above.
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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: April 27, 2026, 4:36 p.m.