Triple
T13371388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austin B. Fletcher Professor of Philosophy at Tufts University |
E319072
|
entity |
| Predicate | typeOfChair |
P6977
|
FINISHED |
| Object | distinguished professorship |
—
|
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: distinguished professorship | Statement: [Austin B. Fletcher Professor of Philosophy at Tufts University, typeOfChair, distinguished professorship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfChair Context triple: [Austin B. Fletcher Professor of Philosophy at Tufts University, typeOfChair, distinguished professorship]
-
A.
chairType
chosen
Indicates the specific kind or category of chair that an entity is classified as.
-
B.
boardChair
Indicates that one entity serves as the chairperson (leader) of the board of directors of another entity.
-
C.
chairIn
Indicates that one entity is a chair located within the spatial bounds or interior of another entity.
-
D.
canChair
Indicates that an entity has the authority or capability to preside over, lead, or chair a meeting, committee, or similar group.
-
E.
chairAlsoChairs
Indicates that an entity who chairs one group, meeting, or committee also serves as the chair of another.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd8950481909785a2060f43b6ed |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:33 p.m.