Triple
T5392959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University Professor at Boston University |
E120378
|
entity |
| Predicate | academicRankLevel |
P298
|
FINISHED |
| Object | senior |
—
|
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: senior | Statement: [University Professor at Boston University, academicRankLevel, senior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academicRankLevel Context triple: [University Professor at Boston University, academicRankLevel, senior]
-
A.
hasAcademicRank
chosen
Indicates that an entity holds a specific academic rank or title within an educational or research institution.
-
B.
academicType
Indicates the specific academic category or classification associated with an entity (such as a work, program, or role).
-
C.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
D.
academicReputation
Indicates the perceived quality and standing of an entity within the academic community, based on factors like scholarly impact, prestige, and recognition.
-
E.
academicHead
Indicates that one entity serves as the chief academic leader or head of another entity, such as a department, program, or institution.
- 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.