Triple
T7166837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Circus of Adventure |
E167089
|
entity |
| Predicate | hasRecurringSeriesProtagonists |
P75241
|
FINISHED |
| Object | Adventure Series children |
—
|
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: Adventure Series children | Statement: [The Circus of Adventure, hasRecurringSeriesProtagonists, Adventure Series children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecurringSeriesProtagonists Context triple: [The Circus of Adventure, hasRecurringSeriesProtagonists, Adventure Series children]
-
A.
recurringDuring
Indicates that an event or state happens repeatedly within the time span or context defined by another event or interval.
-
B.
formerSeries
Indicates that one entity was previously a series associated with another entity, but no longer holds that status.
-
C.
hasProminentSeries
Indicates that an entity is notably associated with a major or well-known series as a defining feature.
-
D.
reprisePerformersInStory
Indicates that certain performers reappear in the same roles or capacities within a subsequent part or version of the story.
-
E.
hasWorkInSameSeries
Indicates that two works belong to and are part of the same series.
- F. None of above. chosen
Provenance (4 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85a07388190a07054ef12870fa1 |
completed | March 27, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69c6e1cd5c948190a9113b23f7308c21 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:48 p.m.