Triple
T14910778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Klug |
E371253
|
entity |
| Predicate | hasGivenUpOffice |
P116642
|
FINISHED |
| Object | did not seek reelection in 1998 |
—
|
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: did not seek reelection in 1998 | Statement: [Scott Klug, hasGivenUpOffice, did not seek reelection in 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenUpOffice Context triple: [Scott Klug, hasGivenUpOffice, did not seek reelection in 1998]
-
A.
hasProperOffice
Indicates that an entity maintains an officially designated, appropriate office or place of business.
-
B.
handedOverOfficeDuring
Indicates that one entity transferred official control, authority, or responsibility of an office or position to another entity during a specified time period.
-
C.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
D.
hasGiven
Indicates that one entity has transferred or presented something to another entity.
-
E.
hasAssociatedOffice
Indicates that an entity is linked to or connected with a particular office in an official or functional capacity.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61c6b9c8190a92934d49b98fe46 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:26 a.m.