Triple
T3286044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacinto |
E68983
|
entity |
| Predicate | hasThemeContext |
P20616
|
FINISHED |
| Object | revenge |
—
|
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: revenge | Statement: [Jacinto, hasThemeContext, revenge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThemeContext Context triple: [Jacinto, hasThemeContext, revenge]
-
A.
hasThemeConnection
chosen
Indicates a relationship where one entity is linked to another through a shared or related theme, topic, or conceptual focus.
-
B.
containsThemeArea
Indicates that one entity includes or encompasses a specific thematic area as part of its scope or content.
-
C.
hasCentralTheme
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
-
D.
hasOpeningThemeStyle
Indicates that an entity’s opening theme follows or is characterized by a particular musical or stylistic genre or format.
-
E.
hasLanguageContext
Indicates that an entity is associated with or interpreted within a specific language or linguistic context.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb03918c48190987d7cfd3bda9716 |
completed | March 8, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69ada421fadc8190b7c7d3c8afd20061 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.