Triple
T36452323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunter College |
E898043
|
entity |
| Predicate | employedAsFaculty |
P60595
|
FINISHED |
| Object | Buck Clayton |
—
|
NE NERFINISHED |
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: Buck Clayton | Statement: [Hunter College, employedAsFaculty, Buck Clayton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employedAsFaculty Context triple: [Hunter College, employedAsFaculty, Buck Clayton]
-
A.
establishedAsFaculty
Indicates that an individual has been formally appointed or recognized as a member of an institution’s faculty.
-
B.
hasUniversityFaculty
chosen
Indicates that a university or academic institution employs or is associated with one or more faculty members.
-
C.
hasFaculty
Indicates that an institution or department possesses or is associated with one or more faculty members.
-
D.
hadFacultyFrom
Indicates that an educational institution employed or was associated with faculty members originating from a specified place or institution.
-
E.
hasFacultyIn
Indicates that an institution or organization has faculty members associated with or working in a particular department, field, or academic unit.
- 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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:10 p.m.