Triple
T33766516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Atlee |
E865244
|
entity |
| Predicate | characterInBookByGenre |
P55464
|
FINISHED |
| Object | legal fiction |
—
|
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: legal fiction | Statement: [Ray Atlee, characterInBookByGenre, legal fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterInBookByGenre Context triple: [Ray Atlee, characterInBookByGenre, legal fiction]
-
A.
characterInBookBy
Indicates that a character appears in a book that was written by a specified author.
-
B.
genreOfWorkCharacterIsIn
chosen
Indicates the specific genre of the creative work in which a given character appears.
-
C.
refersToCharacterFromAuthor
Indicates that one entity refers to a character that originates from a work created by a specific author.
-
D.
персонажПроизведения
Indicates a relationship where a person or entity is a character appearing in a particular literary or artistic work.
-
E.
literarySeriesCharacter
Indicates that a character appears in, is part of, or is associated with a particular literary 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff4fc6077c8190b8fd9b43fcfde986 |
completed | May 9, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69ff4e61fb648190a72f7918961ece9c |
completed | May 9, 2026, 3:10 p.m. |
Created at: May 1, 2026, 1:45 a.m.