Triple
T2794095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Booth School of Business |
E52994
|
entity |
| Predicate | hasNotableFacultyIn |
P10780
|
FINISHED |
| Object | economics |
—
|
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: economics | Statement: [Booth School of Business, hasNotableFacultyIn, economics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFacultyIn Context triple: [Booth School of Business, hasNotableFacultyIn, economics]
-
A.
hasFaculty
Indicates that an institution or department possesses or is associated with one or more faculty members.
-
B.
hasNotableFacultyField
chosen
Indicates that an institution’s notable faculty are associated with or specialize in a particular academic or professional field.
-
C.
hasNotableAlumniType
Indicates that an entity has notable alumni belonging to a specified category or type.
-
D.
notableProfessor
Indicates that a person holds or has held a professorship that is distinguished, prominent, or otherwise recognized as notable.
-
E.
notableInstitution
Indicates that an institution holds particular significance, prominence, or recognition in relation to the subject.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddd33610819085ac7c5bec0e6af0 |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.