Triple
T14880331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Gladney |
E349982
|
entity |
| Predicate | relationshipToHitler |
P94416
|
FINISHED |
| Object | scholarly, not ideological (within the fiction) |
—
|
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: scholarly, not ideological (within the fiction) | Statement: [Jack Gladney, relationshipToHitler, scholarly, not ideological (within the fiction)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToHitler Context triple: [Jack Gladney, relationshipToHitler, scholarly, not ideological (within the fiction)]
-
A.
relationshipToJews
Indicates how an entity is related or connected to Jewish people, communities, or Judaism.
-
B.
positionOnNazism
Indicates an entity’s stance, attitude, or viewpoint toward Nazism as an ideology or movement.
-
C.
relationshipToManfred
Indicates the specific type of relationship or connection that one entity has to the individual named Manfred.
-
D.
historicalRelationship
Indicates a relationship that existed between entities in the past, often tied to a specific historical period, context, or event.
-
E.
viewOnHitler
chosen
Indicates the stance, opinion, or perspective that one entity holds regarding Adolf Hitler.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e622388190b2bf91cd10b9821d |
completed | April 15, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:55 a.m.