Triple
T5439845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boylston Professor of Rhetoric and Oratory at Harvard University |
E122102
|
entity |
| Predicate | isTenuredPosition |
P64075
|
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: [Boylston Professor of Rhetoric and Oratory at Harvard University, isTenuredPosition, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTenuredPosition Context triple: [Boylston Professor of Rhetoric and Oratory at Harvard University, isTenuredPosition, true]
-
A.
isSeniorTitle
Indicates that one title holds a higher or more senior rank or status relative to another title.
-
B.
tenureType
Indicates the type or category of tenure or contractual engagement that characterizes the relationship between the involved entities.
-
C.
endOfTenure
Indicates the point or event at which an entity’s period of holding a role, position, or office concludes.
-
D.
isSeniorTo
Indicates that one entity holds a higher rank, status, or level of authority than another.
-
E.
isSeniorPoliticalRole
Indicates that the role held by an entity is a high-level or senior position within a political system or organization.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd922dc688819092bf33589ebc6d50 |
completed | March 20, 2026, 6:30 p.m. |
Created at: March 20, 2026, 2:07 p.m.