Triple
T30649509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atticus Freeman |
E780214
|
entity |
| Predicate | primaryThemeInArc |
P102764
|
FINISHED |
| Object | family legacy |
—
|
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: family legacy | Statement: [Atticus Freeman, primaryThemeInArc, family legacy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryThemeInArc Context triple: [Atticus Freeman, primaryThemeInArc, family legacy]
-
A.
primaryThemeOrigin
Indicates that the primary thematic content of something (e.g., a work or discourse) originates from or is derived from a particular source or context.
-
B.
themeInArc
chosen
Indicates that something serves as a central theme or recurring subject within a particular narrative arc.
-
C.
primaryThemeAssociation
Indicates that one entity is the main or central theme associated with another entity.
-
D.
primaryColorPalette
Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
-
E.
primaryAltModeTheme
Indicates that one mode of an entity is designated as the main or preferred alternative mode within a set of possible modes.
- 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0316136a14819085bb88563d5abc42 |
completed | May 12, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_6a03158a962c81909f17d58197f6ba00 |
completed | May 12, 2026, 11:56 a.m. |
Created at: April 29, 2026, 8:30 p.m.