Triple
T7935327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Elizabeth II Golden Jubilee Medal |
E184272
|
entity |
| Predicate | hasPostnominals |
P1610
|
FINISHED |
| Object | no post-nominal letters |
—
|
LITERAL 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: no post-nominal letters | Statement: [Queen Elizabeth II Golden Jubilee Medal, hasPostnominals, no post-nominal letters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPostnominals Context triple: [Queen Elizabeth II Golden Jubilee Medal, hasPostnominals, no post-nominal letters]
-
A.
hasPostnominalLetters
Indicates that a person holds specific postnominal letters (abbreviations after their name) signifying qualifications, honors, or titles.
-
B.
hasPostNominal
chosen
Indicates that an entity is associated with a post-nominal title, abbreviation, or letters that follow a name to denote qualifications, honors, or status.
-
C.
honorificSuffix
Indicates that one entity is a respectful or formal suffix appended to another entity’s name or title.
-
D.
hasHonorificNamesake
Indicates that an entity is named in honor of another entity, serving as a namesake that recognizes or commemorates the other.
-
E.
postNominalLetters
Indicates that a person is associated with specific letters placed after their name to denote qualifications, honors, or professional affiliations.
- F. None of above.
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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aec394081909a9569c02ac372af |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:08 p.m.