Triple
T8309330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George J. Tenet |
E194548
|
entity |
| Predicate | afterLeavingOffice |
P82666
|
FINISHED |
| Object | faculty member at Georgetown University |
—
|
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: faculty member at Georgetown University | Statement: [George J. Tenet, afterLeavingOffice, faculty member at Georgetown University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afterLeavingOffice Context triple: [George J. Tenet, afterLeavingOffice, faculty member at Georgetown University]
-
A.
succeedsFromOffice
Indicates that one officeholder directly follows another in holding the same office or position.
-
B.
afterPartyInGovernment
Indicates that a political party assumes or holds power in government following another party’s tenure.
-
C.
afterOfficeActivity
Indicates that one entity engages in an activity that takes place after regular office or work hours.
-
D.
endOfTenure
Indicates the point or event at which an entity’s period of holding a role, position, or office concludes.
-
E.
removedFromPublicDuties
Indicates that an entity has been taken out of roles or responsibilities that involve serving or representing the public.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2d2c30819095075940479b75a7 |
completed | March 31, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69cb70bb3a708190bc705222092da614 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d648988190ab0669cc0592e827 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:54 p.m.