Triple
T24635340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss United Kingdom |
E609795
|
entity |
| Predicate | hasTitleholderRole |
P78808
|
FINISHED |
| Object | national cultural ambassador |
—
|
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: national cultural ambassador | Statement: [Miss United Kingdom, hasTitleholderRole, national cultural ambassador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleholderRole Context triple: [Miss United Kingdom, hasTitleholderRole, national cultural ambassador]
-
A.
hasTitleHolder
Indicates that one entity is the current or designated holder of a specific title, position, or honor associated with another entity.
-
B.
hasTitleHolderResponsibility
Indicates that an entity bears the official duty or role associated with holding a particular title or position.
-
C.
hasTitleHolderTrait
Indicates that an entity possesses a characteristic or status specifically associated with holding a particular title.
-
D.
hasPositionHolderRole
Indicates that an entity holds or occupies a specific position, office, or role within an organization or structure.
-
E.
hasTitleRole
chosen
Indicates that an entity holds or is assigned a specific title or role in relation to another entity.
- 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_69e2c4d28f848190ac38c400060e943d |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.