Triple
T21927032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spring and Fall |
E541467
|
entity |
| Predicate | addressesThemeOf |
P27483
|
FINISHED |
| Object | childhood innocence |
—
|
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: childhood innocence | Statement: [Spring and Fall, addressesThemeOf, childhood innocence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addressesThemeOf Context triple: [Spring and Fall, addressesThemeOf, childhood innocence]
-
A.
addressesConcept
chosen
Indicates that one entity deals with, discusses, or responds to the subject matter represented by another entity.
-
B.
addressesBeliefSystem
Indicates that one entity responds to, engages with, or takes into account the belief system held by another entity.
-
C.
themedAs
Indicates that something is characterized, styled, or organized according to a particular theme or motif.
-
D.
areaTheme
Indicates that a particular theme, topic, or subject is associated with or characterizes a given area or region.
-
E.
activityTheme
Indicates that an activity is centered around, focused on, or characterized by a particular theme.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fc188481909c74fd5f1bd52258 |
completed | April 28, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:46 p.m.