Triple
T33608625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1988 United States Senate elections |
E860925
|
entity |
| Predicate | affectedPresidencyOf |
P181785
|
FINISHED |
| Object | George H. W. Bush |
—
|
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: George H. W. Bush | Statement: [1988 United States Senate elections, affectedPresidencyOf, George H. W. Bush]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectedPresidencyOf Context triple: [1988 United States Senate elections, affectedPresidencyOf, George H. W. Bush]
-
A.
associatedPresident
Indicates a relationship where a person, organization, event, or entity is linked or connected to a specific president in a relevant or significant way.
-
B.
hasPresident
Indicates that an entity holds the position or role of president for another entity.
-
C.
presidencyHeldBy
Indicates that a specific presidency or presidential office is occupied or held by a particular person.
-
D.
followsPresidenciesOf
Indicates that one presidency occurs after and succeeds the presidencies of another person or group of persons.
-
E.
hadMajorPresidency
Indicates that the subject held a primary or significant presidential office over the object entity (such as a country, organization, or institution).
- 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_69f3498037c88190a4500f002b5540e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7824dc3f0819092a5102895b4a478 |
completed | May 3, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f7817c79e081908e685c48165e086b |
completed | May 3, 2026, 5:10 p.m. |
Created at: May 1, 2026, 1:41 a.m.