Triple
T37229159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricochet Rabbit & Droop-a-Long |
E923083
|
entity |
| Predicate | intendedRuntimePerSegment |
P40755
|
FINISHED |
| Object | short segment |
—
|
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: short segment | Statement: [Ricochet Rabbit & Droop-a-Long, intendedRuntimePerSegment, short segment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedRuntimePerSegment Context triple: [Ricochet Rabbit & Droop-a-Long, intendedRuntimePerSegment, short segment]
-
A.
segmentDurationTypical
Indicates that the duration of a segment is considered typical or representative for that kind of segment.
-
B.
typicalRuntimePerShort
Indicates the usual or average amount of time it takes to complete a short instance of the referenced activity or process.
-
C.
intendedDuration
chosen
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
-
D.
maximumNumberOfSegments
Indicates the greatest allowable or observed count of discrete segments into which something can be or is divided.
-
E.
durationPerParticipant
Indicates the amount of time associated with or allocated to each individual participant in the related activity or event.
- 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe2f078c24819082ba396b56f02808 |
completed | May 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69fe228fe1988190baf3bb34897f3dbe |
completed | May 8, 2026, 5:51 p.m. |
Created at: May 3, 2026, 4:15 p.m.