Triple
T37203217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shadow Chancellor of the Duchy of Lancaster |
E922096
|
entity |
| Predicate | isShadowRoleFor |
P187523
|
FINISHED |
| Object | Chancellor of the Duchy of Lancaster |
—
|
NE NERFINISHED |
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: Chancellor of the Duchy of Lancaster | Statement: [Shadow Chancellor of the Duchy of Lancaster, isShadowRoleFor, Chancellor of the Duchy of Lancaster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShadowRoleFor Context triple: [Shadow Chancellor of the Duchy of Lancaster, isShadowRoleFor, Chancellor of the Duchy of Lancaster]
-
A.
isShadowOf
Indicates that one entity is the cast or projected shadow produced by another entity under some light source.
-
B.
hasShadowType
Indicates that one entity possesses or is associated with a particular type or classification of shadow.
-
C.
hasRelativeRole
Indicates that one entity holds a familial or kinship-based role in relation to another entity.
-
D.
isPrincipalRoleIn
Indicates that an entity holds the primary or leading role in a particular context, work, or relationship.
-
E.
hasEquivalentRole
Indicates that two entities hold roles that are functionally the same or interchangeable in a given context.
- 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_69f76ea4849481909b4a3073efb0114c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb55dc36d08190a0634fa680e13114 |
completed | May 6, 2026, 2:53 p.m. |
Created at: May 3, 2026, 4:15 p.m.