Triple
T27941415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radley Tate |
E700757
|
entity |
| Predicate | characterInWorkWithTheme |
P115276
|
FINISHED |
| Object | intellectual disability |
—
|
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: intellectual disability | Statement: [Radley Tate, characterInWorkWithTheme, intellectual disability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterInWorkWithTheme Context triple: [Radley Tate, characterInWorkWithTheme, intellectual disability]
-
A.
characterTheme
Indicates that a particular theme, motif, or conceptual focus is associated with a given character.
-
B.
themeInvolvingCharacter
Indicates that a theme, motif, or abstract concept centrally involves or is significantly shaped by a particular character.
-
C.
characterInWorkDescribedAs
chosen
Indicates that a character is portrayed or described in a particular way within a specific work.
-
D.
thematicCharacter
Indicates that an entity serves as a central or recurring figure embodying key themes or motifs within a narrative or discourse.
-
E.
characterInBookBy
Indicates that a character appears in a book that was written by a specified author.
- 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 27, 2026, 7:18 p.m.