Triple
T26874146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilse Jutta Zambona |
E676697
|
entity |
| Predicate | spouseOfAuthorOf |
P70306
|
FINISHED |
| Object | All Quiet on the Western Front |
—
|
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: All Quiet on the Western Front | Statement: [Ilse Jutta Zambona, spouseOfAuthorOf, All Quiet on the Western Front]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseOfAuthorOf Context triple: [Ilse Jutta Zambona, spouseOfAuthorOf, All Quiet on the Western Front]
-
A.
spouseOfPublisherOf
Indicates that one entity is the spouse of the person or organization that publishes another entity.
-
B.
hasAuthorSpouse
chosen
Indicates that the spouse of the subject entity is the author of the related work or entity.
-
C.
spouseOfCreatorOf
Indicates that one entity is the spouse of the person who created another entity.
-
D.
spouse notableWork
Indicates that a person's spouse is significantly associated with a particular notable work.
-
E.
authorSpouseOrigin
Indicates that the spouse of the author comes from or is originally associated with a specified place or origin.
- 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_69eee9bb44988190b6e11652d028bc59 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 5:34 a.m.