Triple
T24710547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Colors: White |
E612012
|
entity |
| Predicate | hasPrequelRelationWith |
P92686
|
FINISHED |
| Object | Three Colors: Blue |
—
|
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: Three Colors: Blue | Statement: [Three Colors: White, hasPrequelRelationWith, Three Colors: Blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrequelRelationWith Context triple: [Three Colors: White, hasPrequelRelationWith, Three Colors: Blue]
-
A.
isPrequelTo
Indicates that one work or event occurs earlier in time and narratively sets up or leads into another work or event.
-
B.
prequelOrSequelTo
chosen
Indicates that one work in a narrative series occurs earlier or later in the storyline or release order relative to another work, as its prequel or sequel.
-
C.
hasAnimatedPrequel
Indicates that one work serves as an earlier, animated installment in the narrative or release sequence of another work.
-
D.
hasSequelOrRelated
Indicates that one work follows, continues, or is otherwise narratively or thematically related to another work.
-
E.
precedesInFilm
Indicates that one film is released or occurs earlier in sequence or narrative order than another film.
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 3:24 a.m.