Triple
T17575885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Casey |
E428065
|
entity |
| Predicate | parentIsPolitician |
P75179
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Christopher Casey, parentIsPolitician, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentIsPolitician Context triple: [Christopher Casey, parentIsPolitician, true]
-
A.
hasParentPoliticalParty
Indicates that a political party is affiliated with, derived from, or organizationally subordinate to another, larger political party.
-
B.
parentPoliticalAffiliation
Indicates that one entity has a political affiliation that is associated with, derived from, or characteristic of their parent.
-
C.
motherPoliticalRole
Indicates that an individual’s mother holds or held a specific political office or role.
-
D.
officeHolderParent
Indicates that one entity is the parent of another entity who holds or has held a particular office or official position.
-
E.
hasPoliticalFamily
chosen
Indicates that an entity is related by family ties to another entity involved in politics or holding political office.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463c88b3081908ddf6a2a12f6138e |
completed | April 19, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.