Triple
T27854271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foundation for Excellence in Education |
E704040
|
entity |
| Predicate | founderPoliticalParty |
P181413
|
FINISHED |
| Object | Republican Party |
—
|
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: Republican Party | Statement: [Foundation for Excellence in Education, founderPoliticalParty, Republican Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: founderPoliticalParty Context triple: [Foundation for Excellence in Education, founderPoliticalParty, Republican Party]
-
A.
politicalPartyFounded
Indicates that an entity (typically a person or group) established or created a political party.
-
B.
foundingParties
Indicates the entities that jointly establish or create an organization, institution, or agreement as its original founders.
-
C.
namedForPoliticalParty
Indicates that an entity is named after or in honor of a specific political party.
-
D.
hasAuthorPoliticalParty
Indicates that a political party is the one to which the author of a work or document belongs or is affiliated.
-
E.
otherPoliticalParty
Indicates that an entity is affiliated with or represents a political party that is different from the primary or reference political party in the given context.
- 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_69ef840e614c8190a88cf9638c14a265 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69f77648979c8190b6cdbb835ab8987c |
completed | May 3, 2026, 4:22 p.m. |
Created at: April 27, 2026, 6:13 p.m.