Triple
T16169432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Lauderdale |
E392394
|
entity |
| Predicate | notableOfficeHolderRole |
P5750
|
FINISHED |
| Object | Scottish statesman |
—
|
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: Scottish statesman | Statement: [Duke of Lauderdale, notableOfficeHolderRole, Scottish statesman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableOfficeHolderRole Context triple: [Duke of Lauderdale, notableOfficeHolderRole, Scottish statesman]
-
A.
notableFormerOfficeHolderRole
Indicates that an entity previously held a particular official position or role that is considered notable.
-
B.
officeHolderRoleFor
Indicates that a specific role or position is held by an office holder within an organization or governing body.
-
C.
notableOfficeHolder
chosen
Indicates that an entity is a significant or distinguished holder of a particular office or position associated with another entity.
-
D.
politicalOrSocialRole
Indicates that an entity holds or is associated with a specific political or social position, function, or status within a group or society.
-
E.
officeHolderRoleIn
Indicates that an entity holds or has held a specific role or position within a particular office or organizational context.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb5e6d881908749683091afa90c |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.