Triple
T35119900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six of Crows |
E1014137
|
entity |
| Predicate | charactersAppearIn |
P172090
|
FINISHED |
| Object | Shadow and Bone (TV series) |
—
|
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: Shadow and Bone (TV series) | Statement: [Six of Crows, charactersAppearIn, Shadow and Bone (TV series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: charactersAppearIn Context triple: [Six of Crows, charactersAppearIn, Shadow and Bone (TV series)]
-
A.
characterAppearsIn
chosen
Indicates that a specific character is present or featured within a particular work, such as a book, movie, or episode.
-
B.
appearsAgainst
Indicates that one entity is visually or publicly presented in opposition to, or in contrast with, another entity.
-
C.
characterAlsoAppearsInWorksBy
Indicates that a character appearing in one creator’s work also appears in works created by another specified creator.
-
D.
appearsWithCharacter
Indicates that two characters are shown or present together within the same scene, shot, or context.
-
E.
characterInFilmSeries
Indicates that a character appears in or is part of the cast of a particular film series.
- 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_69f76dd8b6948190aaa32b081816bd94 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff8aff48988190a48a440de8238ef9 |
completed | May 9, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69ff8a780404819082f48ceb21e7fe11 |
completed | May 9, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:01 p.m.