Triple
T5539980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wykeham Professor of Logic at New College, Oxford |
E145264
|
entity |
| Predicate | chairIn |
P64804
|
FINISHED |
| Object | logic |
—
|
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: logic | Statement: [Wykeham Professor of Logic at New College, Oxford, chairIn, logic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chairIn Context triple: [Wykeham Professor of Logic at New College, Oxford, chairIn, logic]
-
A.
canChair
Indicates that an entity has the authority or capability to preside over, lead, or chair a meeting, committee, or similar group.
-
B.
boardChair
Indicates that one entity serves as the chairperson (leader) of the board of directors of another entity.
-
C.
chairAlsoChairs
Indicates that an entity who chairs one group, meeting, or committee also serves as the chair of another.
-
D.
coChairWith
Indicates that two or more entities share the role of chairing the same group, event, or organization jointly.
-
E.
chairType
Indicates the specific kind or category of chair that an entity is classified as.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fb487648190948493fe96cec0ff |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:35 p.m.