Triple
T9111477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mann family |
E218609
|
entity |
| Predicate | associatedWithPoliticalStance |
P15842
|
FINISHED |
| Object | anti-fascism |
—
|
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: anti-fascism | Statement: [Mann family, associatedWithPoliticalStance, anti-fascism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPoliticalStance Context triple: [Mann family, associatedWithPoliticalStance, anti-fascism]
-
A.
associatedWithPoliticalModel
Indicates that an entity is connected or linked to a particular political model, framework, or ideology in some relevant way.
-
B.
politicalPositionAssociated
Indicates that there is an association between an entity and a specific political position, role, or office.
-
C.
policyStance
Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
-
D.
hasAuthorPoliticalAlignment
Indicates that an author is associated with or identified as having a particular political alignment or ideology.
-
E.
politicalTendency
chosen
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8495c448190b9bb3803fb2dda70 |
completed | April 1, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.