Triple
T9603785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Besse |
E231917
|
entity |
| Predicate | hasEmployerHistory |
P11675
|
FINISHED |
| Object | Glassdoor |
E34626
|
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: Glassdoor | Statement: [Tim Besse, hasEmployerHistory, Glassdoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glassdoor Context triple: [Tim Besse, hasEmployerHistory, Glassdoor]
-
A.
Glassdoor
chosen
Glassdoor is an online platform where employees and former employees anonymously review companies, share salary information, and browse job listings.
-
B.
ZipRecruiter
ZipRecruiter is an online employment marketplace that connects employers with job seekers through a large job board and AI-driven matching tools.
-
C.
jobs aggregator company Jobsinthemoney
Jobsinthemoney is a niche job search platform focused on finance and investment careers, co-founded by entrepreneur Rony Kahan.
-
D.
LinkedIn
LinkedIn is a professional networking platform and social media service focused on careers, business connections, and job opportunities.
-
E.
Adevinta
Adevinta is a global online classifieds company that operates digital marketplaces for buying and selling goods, services, and real estate across multiple countries.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a5cddf481909aa6b589bcb3e71a |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190e248bc819080d0c72c9a65482d |
completed | April 4, 2026, 10:29 p.m. |
Created at: March 30, 2026, 8:08 p.m.