Triple
T5451690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Hall of Fame |
E122384
|
entity |
| Predicate | inceptionDuring |
P44190
|
FINISHED |
| Object | Arnold Schwarzenegger governorship |
—
|
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: Arnold Schwarzenegger governorship | Statement: [California Hall of Fame, inceptionDuring, Arnold Schwarzenegger governorship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inceptionDuring Context triple: [California Hall of Fame, inceptionDuring, Arnold Schwarzenegger governorship]
-
A.
inception
Indicates the point in time or event at which something begins, originates, or is first established.
-
B.
inceptionWithin
chosen
Indicates that one event, process, or entity begins or is initiated entirely within the temporal or spatial bounds of another.
-
C.
inceptionCentury
Indicates the century during which something (such as an institution, tradition, or practice) was originally founded or began.
-
D.
inceptionTime
Indicates the specific point in time when an entity, event, or relationship begins or is first established.
-
E.
inceptionPart
Indicates that one entity represents a component, segment, or phase within the initial creation or starting process of another entity.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd95be329c81908783420cf81b6af5 |
completed | March 20, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69bd919e8d18819098c4af6a015e5cc2 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.