Triple
T5392976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University Professor at Boston University |
E120378
|
entity |
| Predicate | tenureStatus |
P51579
|
FINISHED |
| Object | typically tenured |
—
|
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: typically tenured | Statement: [University Professor at Boston University, tenureStatus, typically tenured]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tenureStatus Context triple: [University Professor at Boston University, tenureStatus, typically tenured]
-
A.
tenureType
Indicates the type or category of tenure or contractual engagement that characterizes the relationship between the involved entities.
-
B.
tenureCharacteristic
chosen
Indicates a relationship where a specific attribute or quality characterizes the duration or conditions of someone’s or something’s tenure.
-
C.
tenureDependsOn
Indicates that the duration or continuation of one entity’s tenure is conditional on or determined by another specified factor or entity.
-
D.
careerStatus
Indicates the current stage, position, or condition of an entity within its professional or occupational life.
-
E.
designationStatus
Indicates the current official classification or standing assigned to an entity within a defined system or process.
- 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd871b81d08190993928e2c6251226 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd8463a9c88190bd760378f3026180 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.