Triple
T19992060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Part I: Upheavals of Thought |
E494086
|
entity |
| Predicate | isSectionOfBookOn |
P43838
|
FINISHED |
| Object | emotions and the good life |
—
|
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: emotions and the good life | Statement: [Part I: Upheavals of Thought, isSectionOfBookOn, emotions and the good life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSectionOfBookOn Context triple: [Part I: Upheavals of Thought, isSectionOfBookOn, emotions and the good life]
-
A.
partOfBook
Indicates that one entity is a component or section contained within a larger book entity.
-
B.
isOpeningSectionOf
Indicates that one content segment functions as the initial or introductory section of another, larger work or structure.
-
C.
hasSectionOn
chosen
Indicates that one entity (typically a document or resource) contains a dedicated section or part that specifically addresses or discusses another entity or topic.
-
D.
isOnSectionOf
Indicates that one entity is located on, or positioned along, a specific segment or subsection of another entity.
-
E.
containsChapter
Indicates that one entity (typically a larger work or document) includes another entity as a chapter within its structure.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe10ffc81908c94168b0a8ea9c9 |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:31 p.m.