Triple
T13393085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bud Anderson |
E319623
|
entity |
| Predicate | typicalStoryThemes |
P54524
|
FINISHED |
| Object | adolescent misadventures |
—
|
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: adolescent misadventures | Statement: [Bud Anderson, typicalStoryThemes, adolescent misadventures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStoryThemes Context triple: [Bud Anderson, typicalStoryThemes, adolescent misadventures]
-
A.
typicalDialogueTheme
Indicates the usual or characteristic subject matter that conversations or dialogues between the entities tend to focus on.
-
B.
narrativeMotif
chosen
Indicates a recurring thematic element, pattern, or situation that appears across one or more narratives and helps structure or convey their underlying meanings.
-
C.
fictionalTheme
Indicates that a work, element, or context is centered around or characterized by a fictional theme or motif.
-
D.
storyTitle
Indicates that one entity is the title assigned to a story associated with another entity.
-
E.
characterTheme
Indicates that a particular theme, motif, or conceptual focus is associated with a given character.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d74e5881909828854bba7d9a87 |
completed | April 12, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:34 p.m.