Triple
T9435374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Elizabeth, Duchess of Edinburgh |
E227490
|
entity |
| Predicate | titleHolderPublicDuties |
P88885
|
FINISHED |
| Object | undertook royal tours on behalf of George VI |
—
|
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: undertook royal tours on behalf of George VI | Statement: [Princess Elizabeth, Duchess of Edinburgh, titleHolderPublicDuties, undertook royal tours on behalf of George VI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderPublicDuties Context triple: [Princess Elizabeth, Duchess of Edinburgh, titleHolderPublicDuties, undertook royal tours on behalf of George VI]
-
A.
titleHolderDesignation
Indicates the specific role or designation held by the current holder of a particular title or position.
-
B.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
-
C.
notableTitleHeld
Indicates that an entity has held a distinguished or noteworthy title, rank, or official position.
-
D.
notableOfficerTitle
Indicates that an entity holds or is associated with a particularly distinguished or noteworthy officer position or title.
-
E.
titleHolderIs
Indicates that one entity currently holds or possesses a specific title associated with another entity.
- F. None of above. chosen
Provenance (4 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e64109081908222f590928bc572 |
completed | April 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69cca55548488190b171ae695a3212de |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89b3368819087a3d69270c1f185 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:50 p.m.