Triple
T309944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foreign Member of the Royal Society |
E6382
|
entity |
| Predicate | hasHonorificSuffix |
P341
|
FINISHED |
| Object | ForMemRS |
E4087
|
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: ForMemRS | Statement: [Foreign Member of the Royal Society, hasHonorificSuffix, ForMemRS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ForMemRS Context triple: [Foreign Member of the Royal Society, hasHonorificSuffix, ForMemRS]
-
A.
ForMemRS
chosen
ForMemRS is the post-nominal title used to denote a Foreign Member of the Royal Society, one of the highest honors awarded by the United Kingdom’s national academy of sciences to non-UK scientists.
-
B.
RSN
RSN is the common abbreviation for Red Sox Nation, the passionate fan base of Major League Baseball’s Boston Red Sox.
-
C.
MMU
MMU is a large public university in Manchester, England, known for its diverse academic programs and strong links with industry and the creative sectors.
-
D.
RAN
RAN is the 3GPP working group responsible for specifying the radio access network technologies used in mobile communication systems such as LTE and 5G.
-
E.
RBM
RBM is a global partnership initiative dedicated to coordinating and scaling up efforts to prevent, control, and ultimately eliminate malaria worldwide.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea4778cc8190be7b648a82542891 |
completed | Feb. 28, 2026, 1:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c415f83c8190b95755f23faae026 |
completed | March 1, 2026, 4:44 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.