Triple
T33676640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedelind Wagner |
E862776
|
entity |
| Predicate | relationshipToAdolfHitler |
P10260
|
FINISHED |
| Object | family acquaintance and later critic |
—
|
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: family acquaintance and later critic | Statement: [Friedelind Wagner, relationshipToAdolfHitler, family acquaintance and later critic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToAdolfHitler Context triple: [Friedelind Wagner, relationshipToAdolfHitler, family acquaintance and later critic]
-
A.
relationshipToAdolfVerloc
Indicates the type or nature of a person's relationship to Adolf Verloc.
-
B.
roleDuringNaziEra
Indicates the specific position, function, or involvement an entity had during the period of Nazi rule.
-
C.
historicalRelationship
chosen
Indicates a relationship that existed between entities in the past, often tied to a specific historical period, context, or event.
-
D.
relationshipToHermann
Indicates the specific familial, social, or professional relationship that one entity has to the person named Hermann.
-
E.
relationshipToManfred
Indicates the specific type of relationship or connection that one entity has to the individual named Manfred.
- 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_69f34985885c8190914322f492e04703 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:43 a.m.