Triple
T37807080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Self |
E942531
|
entity |
| Predicate | centralThemeInNarration |
P56597
|
FINISHED |
| Object | money |
—
|
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: money | Statement: [John Self, centralThemeInNarration, money]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralThemeInNarration Context triple: [John Self, centralThemeInNarration, money]
-
A.
focusesOnNarrativeTheme
Indicates that an entity (such as a work, section, or analysis) centers its attention on, develops, or explores a particular narrative theme as a primary concern.
-
B.
primaryStoryThemes
Indicates the main recurring ideas or motifs that characterize and unify a story’s narrative.
-
C.
narrativelyCenteredIn
Indicates that an event, character, or element is positioned as the primary focus or organizing center of a narrative within a given context.
-
D.
centralThemeContext
chosen
Indicates that one concept serves as the main thematic focus within the situational, narrative, or discourse context defined by another.
-
E.
coreNarrative
Indicates the primary storyline or central sequence of events that forms the main thread of a narrative.
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe349879848190bcd77e3cc3470458 |
completed | May 8, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69fe31e3cf908190b23ebc2f7fe58722 |
completed | May 8, 2026, 6:56 p.m. |
Created at: May 3, 2026, 4:19 p.m.