Triple
T32657336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republican Party (Springfield) |
E834896
|
entity |
| Predicate | hasReputationInSeries |
P203991
|
FINISHED |
| Object | sinister |
—
|
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: sinister | Statement: [Republican Party (Springfield), hasReputationInSeries, sinister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReputationInSeries Context triple: [Republican Party (Springfield), hasReputationInSeries, sinister]
-
A.
hasWorkInSameSeries
Indicates that two works belong to and are part of the same series.
-
B.
hasSiblingSeriesAppearance
Indicates that two entities appear as siblings within the same series or narrative work.
-
C.
hasSeriesRecord
Indicates that one entity maintains a documented record or history of another entity’s participation or performance within a series.
-
D.
hasLeadInSeries
Indicates that one entity serves as the primary or starring role in a series associated with another entity.
-
E.
airedWithinSeries
Indicates that an episode or installment was broadcast as part of, and within the run of, a particular 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a030713bd2881908bcc69e7d1e9fd09 |
completed | May 12, 2026, 10:55 a.m. |
| PD | Predicate disambiguation | batch_6a0304c29abc819085ffd17ab9a8c844 |
completed | May 12, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_6a030712df548190b8b91ecaa5a1fc5e |
completed | May 12, 2026, 10:55 a.m. |
Created at: May 1, 2026, 1:08 a.m.