Triple
T21446698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shermer, Illinois |
E529095
|
entity |
| Predicate | usedAsSettingIn |
P15599
|
FINISHED |
| Object | Career Opportunities |
—
|
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: Career Opportunities | Statement: [Shermer, Illinois, usedAsSettingIn, Career Opportunities]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Career Opportunities Context triple: [Shermer, Illinois, usedAsSettingIn, Career Opportunities]
-
A.
Career Opportunities
chosen
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.
-
B.
Jobs
Jobs is the surname of Steve Jobs, the influential co-founder and longtime leader of Apple Inc.
-
C.
Jobs
Jobs is a 2013 biographical drama film depicting the life and career of Apple co-founder Steve Jobs.
-
D.
Career Day
Career Day is a television program produced by Entertainment Studios Television that profiles various professions and the people who work in them.
-
E.
Recruit Career
Recruit Career is a Japanese human resources and recruitment services company under Recruit Holdings, known for operating major job search and career support platforms.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9cea7bc81909ee3e1cdeda1fe7e |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.