Triple
T13513640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jep |
E322699
|
entity |
| Predicate | shortFormOf |
P43
|
FINISHED |
| Object | Jepsen |
E62016
|
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: Jepsen | Statement: [Jep, shortFormOf, Jepsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jepsen Context triple: [Jep, shortFormOf, Jepsen]
-
A.
Jepsen
chosen
Jepsen is a surname most notably associated with individuals such as display technology innovator Mary Lou Jepsen.
-
B.
Stonebraker
Stonebraker is the surname of Michael Stonebraker, a pioneering computer scientist known for his influential work on relational and database management systems.
-
C.
Percona
Percona is an open-source database software and services company known for its performance-focused distributions and support for MySQL, MariaDB, MongoDB, and related technologies.
-
D.
Yama LSM
Yama LSM is a Linux Security Module focused on strengthening process isolation and restricting ptrace and related debugging capabilities to harden the kernel against local attacks.
-
E.
Crossbench
The Crossbench is a group of independent, non-party-affiliated members in the UK House of Lords who are not aligned with any political party.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf87ca288190a147fbdb2f90985f |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75492676c81909602745e2b6436cb |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.