Triple
T32915959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fitzwallace administration |
E842010
|
entity |
| Predicate | timeRelationToEvents |
P4137
|
FINISHED |
| Object | immediately precedes events of The West Wing pilot |
—
|
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: immediately precedes events of The West Wing pilot | Statement: [Fitzwallace administration, timeRelationToEvents, immediately precedes events of The West Wing pilot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeRelationToEvents Context triple: [Fitzwallace administration, timeRelationToEvents, immediately precedes events of The West Wing pilot]
-
A.
timePeriodEvent
Indicates that an event occurs, is scheduled, or is valid within a specified time period.
-
B.
temporalRelation
chosen
Indicates a relationship that specifies how two events or states are positioned relative to each other in time (e.g., before, after, or overlapping).
-
C.
dateOfRelatedEvent
Indicates that there is a specific date on which a related event associated with the subject occurs or occurred.
-
D.
timeCorrelation
Indicates that two events or states are related in time such that changes or occurrences in one are systematically associated with changes or occurrences in the other.
-
E.
chronologicalRelationWithinCity
Indicates a temporal ordering between events or entities that occur within the same city.
- 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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:19 a.m.