Triple
T30933597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin's Famous Chili |
E788058
|
entity |
| Predicate | hasRunningTimeContext |
P74363
|
FINISHED |
| Object | short cold-open sequence |
—
|
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 cold-open sequence | Statement: [Kevin's Famous Chili, hasRunningTimeContext, short cold-open sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRunningTimeContext Context triple: [Kevin's Famous Chili, hasRunningTimeContext, short cold-open sequence]
-
A.
hasRunningTimeCategory
chosen
Indicates that an entity is associated with a specific category based on its running time or duration.
-
B.
hasTimeStart
Indicates that an event, process, or state begins at a specific point in time.
-
C.
hasPerformanceContext
Indicates that an entity is associated with a specific performance-related situation, setting, or set of conditions under which it operates or is evaluated.
-
D.
hasTimingCapability
Indicates that an entity possesses the ability to measure, control, or manage timing-related aspects of an operation or process.
-
E.
hasDurationCharacteristic
Indicates that something possesses a specific temporal property, such as length, span, or persistence over time.
- 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_69f224c0b7fc819090cb89df60d23653 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 29, 2026, 8:52 p.m.