Triple
T18461888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Phillips |
E451056
|
entity |
| Predicate | employedBy |
P7
|
FINISHED |
| Object | SEL UK |
E451056
|
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: SEL UK | Statement: [Peter Phillips, employedBy, SEL UK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEL UK Context triple: [Peter Phillips, employedBy, SEL UK]
-
A.
SEL UK
chosen
SEL UK is a United Kingdom–based company that employs Peter Phillips, known for his work in business and commercial ventures.
-
B.
UKLA
UKLA is the abbreviation for the UK Listing Authority, the financial regulator responsible for overseeing the listing of securities on UK markets.
-
C.
UK SC
UK SC is the commonly used abbreviation for the Supreme Court of the United Kingdom, the highest appellate court in the UK for civil cases and for criminal cases from England, Wales, and Northern Ireland.
-
D.
UKLC
UKLC is the ICAO airport code assigned to Lutsk Airport in Ukraine.
-
E.
Study UK
Study UK is a British Council initiative that promotes UK higher education to international students and supports their study and career pathways in the United Kingdom.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7fd9e081909bdf5c4aec2ba08d |
completed | April 19, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040febab8c819086707e68f2259fe9 |
completed | May 13, 2026, 5:45 a.m. |
Created at: April 10, 2026, 11:33 a.m.