Triple
T6175009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cancer |
E137795
|
entity |
| Predicate | associatedHouseThemes |
P26313
|
FINISHED |
| Object | home |
—
|
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: home | Statement: [Cancer, associatedHouseThemes, home]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedHouseThemes Context triple: [Cancer, associatedHouseThemes, home]
-
A.
majorThemeAssociation
Indicates that one entity is associated with another as a primary or central theme.
-
B.
associatedHouse
chosen
Indicates a relationship where one entity is linked or connected to a particular house, typically as its related or corresponding house.
-
C.
heritageTheme
Indicates that something is associated with, represents, or is categorized under a particular cultural or historical heritage theme.
-
D.
notableTheme
Indicates that a particular theme is prominently featured in, or strongly associated with, an entity such as a work, event, or body of content.
-
E.
areaTheme
Indicates that a particular theme, topic, or subject is associated with or characterizes a given area or region.
- 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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dc55b5c819084482b735771c9a8 |
completed | March 22, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.