Triple
T18822060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daisy Fay |
E460285
|
entity |
| Predicate | centralThemeOfLife |
P42994
|
FINISHED |
| Object | coming of age |
—
|
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: coming of age | Statement: [Daisy Fay, centralThemeOfLife, coming of age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralThemeOfLife Context triple: [Daisy Fay, centralThemeOfLife, coming of age]
-
A.
thematicConcept
Indicates that one entity embodies, expresses, or is centrally concerned with a particular underlying theme or conceptual idea represented by the other entity.
-
B.
centralThemeConnection
chosen
Indicates a relationship where one element serves as the primary or unifying theme that conceptually links or organizes the other element(s).
-
C.
positionOnHumanLife
Indicates a stance or viewpoint that an entity holds regarding the value, rights, or treatment of human life.
-
D.
philosophicalTheme
Indicates that a work, idea, or discourse centrally involves or explores a particular philosophical concept, question, or line of thought.
-
E.
supportsLife
Indicates that one entity provides conditions or resources that allow another entity to live, grow, or remain biologically viable.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6ba90988190a93e1c2fa23b3d1d |
completed | April 20, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:55 a.m.