Triple
T38655165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viscountess Mountbatten of Burma |
E939871
|
entity |
| Predicate | socialRoleOfHolder |
P143209
|
FINISHED |
| Object | patron of charities |
—
|
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: patron of charities | Statement: [Viscountess Mountbatten of Burma, socialRoleOfHolder, patron of charities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialRoleOfHolder Context triple: [Viscountess Mountbatten of Burma, socialRoleOfHolder, patron of charities]
-
A.
socialRoleIn
chosen
Indicates that one entity holds a particular social role, status, or position within the context or framework defined by another entity.
-
B.
socialRoleInWork
Indicates the role or position an entity holds within a work-related or professional social context.
-
C.
officeHolderRoleIn
Indicates that an entity holds or has held a specific role or position within a particular office or organizational context.
-
D.
profileRole
Indicates the specific role or function an entity holds within a given profile or contextual configuration.
-
E.
officeHolderRoleFor
Indicates that a specific role or position is held by an office holder within an organization or governing body.
- 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_69f76ede49648190a48bfe47032a05a3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: May 3, 2026, 4:33 p.m.