Triple
T33947178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Peterson (The Parent 'Hood) |
E870322
|
entity |
| Predicate | primaryThemeOfStories |
P150352
|
FINISHED |
| Object | parenting challenges |
—
|
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: parenting challenges | Statement: [Michael Peterson (The Parent 'Hood), primaryThemeOfStories, parenting challenges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryThemeOfStories Context triple: [Michael Peterson (The Parent 'Hood), primaryThemeOfStories, parenting challenges]
-
A.
primaryStoryThemes
chosen
Indicates the main recurring ideas or motifs that characterize and unify a story’s narrative.
-
B.
secondaryFocusOfStories
Indicates that an entity serves as a secondary or supporting focus within the narratives or stories about another entity.
-
C.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
D.
primaryContent
Indicates that one entity serves as the main or most important content associated with another entity.
-
E.
settingOfPrimaryStories
Indicates the primary location or environment in which the main stories or narratives about an entity take place.
- 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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:49 a.m.