Triple
T29099101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kafka (1991 film) |
E735091
|
entity |
| Predicate | hasColorSequences |
P40659
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Kafka (1991 film), hasColorSequences, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorSequences Context triple: [Kafka (1991 film), hasColorSequences, true]
-
A.
containsColorSequences
chosen
Indicates that one entity includes or exhibits specific ordered sequences of colors associated with another entity.
-
B.
hasColorSegments
Indicates that an entity is composed of or divided into distinct parts, each associated with a specific color.
-
C.
hasColorProcess
Indicates a relationship where an entity is associated with a specific method or process used to apply, change, or manage its color.
-
D.
hasColorStructure
Indicates that an entity possesses a specific arrangement or pattern of colors.
-
E.
hasColorDisplay
Indicates that an entity is equipped with a display capable of showing colors rather than only monochrome output.
- 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_6a00372ff0e48190b3ed91f9bae9da6c |
completed | May 10, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_6a00359c1b8481909c1e43df9f5a789a |
completed | May 10, 2026, 7:37 a.m. |
Created at: April 28, 2026, 11:10 a.m.