Triple
T9316610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yves-François Blanchet |
E224136
|
entity |
| Predicate | partyIdeologyRepresented |
P16609
|
FINISHED |
| Object | Quebec nationalism |
—
|
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: Quebec nationalism | Statement: [Yves-François Blanchet, partyIdeologyRepresented, Quebec nationalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partyIdeologyRepresented Context triple: [Yves-François Blanchet, partyIdeologyRepresented, Quebec nationalism]
-
A.
politicalIdentity
chosen
Indicates the political affiliation, ideology, or stance that characterizes an entity’s position within a political spectrum or system.
-
B.
partyAlignment
Indicates the political party or faction with which an entity is formally or informally affiliated or aligned.
-
C.
holderPoliticalAffiliation
Indicates that a person or officeholder is associated with or belongs to a particular political party or ideology.
-
D.
politicalParty
Indicates that an entity is affiliated with, belongs to, or is a member of a specific political party.
-
E.
politicalSide
Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd35899b9081908bb0c310cc25722f |
completed | April 1, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:37 p.m.