Triple
T12293177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Companion of the Order of St Michael and St George |
E293016
|
entity |
| Predicate | postNominalLetters |
P1600
|
FINISHED |
| Object | CMG |
E50380
|
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: CMG | Statement: [Companion of the Order of St Michael and St George, postNominalLetters, CMG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CMG Context triple: [Companion of the Order of St Michael and St George, postNominalLetters, CMG]
-
A.
CMG
chosen
CMG is a post-nominal honorific indicating appointment as a Companion of the Order of St Michael and St George, a British order of chivalry typically awarded for distinguished service in foreign affairs or overseas.
-
B.
CMG
CMG is the vehicle registration code assigned to the town of Mogilno in Poland.
-
C.
CMG
CMG is the stock ticker symbol for Chipotle Mexican Grill, a major American fast-casual restaurant chain known for its burritos and tacos.
-
D.
CMG
CMG is China’s state-owned national media conglomerate that oversees major television, radio, and online broadcasting services.
-
E.
SMG
SMG is a private company specializing in the management and operation of public assembly facilities such as stadiums, arenas, and convention centers.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d23def88190adbaa282dd03d6c6 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e775dac819099d44b61cbccc109 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.