Triple
T10206958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Job Switching |
E242221
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Job Switching |
E242221
|
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: Job Switching | Statement: [Job Switching, title, Job Switching]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Job Switching Context triple: [Job Switching, title, Job Switching]
-
A.
Job Switching
chosen
"Job Switching" is a classic 1952 episode of the sitcom *I Love Lucy* best known for its iconic chocolate factory conveyor-belt scene satirizing gender roles and workplace competence.
-
B.
Jobs
Jobs is a 2013 biographical drama film depicting the life and career of Apple co-founder Steve Jobs.
-
C.
Jobs
Jobs is the surname of Steve Jobs, the influential co-founder and longtime leader of Apple Inc.
-
D.
New Position
"New Position" is a funk-infused pop song by Prince from his 1986 album *Parade*, noted for its minimalist production and playful, sensual lyrics.
-
E.
Career Opportunities
Career Opportunities is a 1991 romantic comedy film about a young dreamer who gets locked overnight in a department store with a wealthy girl, leading to unexpected adventures and self-discovery.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395f774008190ae38823651e45264 |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652c13d748190908d1869c60e84c3 |
completed | April 8, 2026, 1:06 p.m. |
Created at: April 6, 2026, 10:55 a.m.