Triple
T19723610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senior Executive Service |
E473668
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SES |
—
|
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: SES | Statement: [Senior Executive Service, abbreviation, SES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SES Context triple: [Senior Executive Service, abbreviation, SES]
-
A.
SES
SES is the commonly used abbreviation for St Edward's School, a co-educational independent boarding and day school in Oxford, England.
-
B.
SES
chosen
SES is the abbreviation for the Senior Executive Service, the corps of top-level civilian managers and executives in the U.S. federal government.
-
C.
SES
SES is the standard abbreviation for the astrophysics textbook "Structure and Evolution of the Stars," a foundational work on stellar structure and life cycles.
-
D.
ESS
ESS is the commonly used abbreviation for the European Standardization System, the framework through which European standards are developed and harmonized.
-
E.
ESS
ESS is the commonly used abbreviation for Étoile Sportive du Sahel, a prominent multi-sport club based in Sousse, Tunisia, best known for its successful football team.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f64984819097882c44098b1643 |
completed | April 20, 2026, 3:44 p.m. |
Created at: April 10, 2026, 1:46 p.m.