Triple
T28037729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Pearson |
E708456
|
entity |
| Predicate | hasFriendshipTheme |
P20616
|
FINISHED |
| Object | friendship |
—
|
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: friendship | Statement: [Bruce Pearson, hasFriendshipTheme, friendship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFriendshipTheme Context triple: [Bruce Pearson, hasFriendshipTheme, friendship]
-
A.
hasThemeConnection
chosen
Indicates a relationship where one entity is linked to another through a shared or related theme, topic, or conceptual focus.
-
B.
hasFamilyTheme
Indicates that something involves, centers on, or prominently features themes related to family relationships or family life.
-
C.
hasSayingTheme
Indicates that a saying, proverb, or quoted expression is about or centers on a particular theme or subject.
-
D.
hasFestivalTheme
Indicates that something is associated with, characterized by, or designed around a particular festival-related theme.
-
E.
followsTheme
Indicates that one entity adheres to, is guided by, or is structured according to the theme established by another entity.
- 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_69ef9b6cf538819094a633ffa67afec1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 27, 2026, 8:22 p.m.