Triple
T29099114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kafka (1991 film) |
E735091
|
entity |
| Predicate | alternateVersionTitle |
P85265
|
FINISHED |
| Object | Mr. Kneff |
—
|
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: Mr. Kneff | Statement: [Kafka (1991 film), alternateVersionTitle, Mr. Kneff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternateVersionTitle Context triple: [Kafka (1991 film), alternateVersionTitle, Mr. Kneff]
-
A.
alternateVersionTrait
Indicates that one entity represents an alternative version or variant of another, differing in certain traits or characteristics.
-
B.
alternateWorkingTitle
chosen
Indicates that one title serves as an alternative working title for the same work or project as another title.
-
C.
alternateInterpretationOfTitle
Indicates that one title is an alternative interpretation or reading of another title, reflecting a different way the original title can be understood.
-
D.
alternateTitleOfAdaptedEdition
Indicates that a title is an alternative title specifically for an adapted edition of a work, rather than for the original version.
-
E.
expandedVersionTitle
Indicates that one title is the name used for an expanded or extended version of another work.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 28, 2026, 11:10 a.m.