Triple
T5454088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Not with a bang but a whimper" |
E122436
|
entity |
| Predicate | quotationStatus |
P18287
|
FINISHED |
| Object | famous literary quotation |
—
|
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: famous literary quotation | Statement: ["Not with a bang but a whimper", quotationStatus, famous literary quotation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quotationStatus Context triple: ["Not with a bang but a whimper", quotationStatus, famous literary quotation]
-
A.
hasQuotationStatus
chosen
Indicates that an entity has a particular quotation-related state or condition (such as being quoted, unquoted, or having a specific quotation status).
-
B.
profitStatus
Indicates the financial performance state of an entity, such as whether it is operating at a profit, loss, or breaking even.
-
C.
acquisitionStatus
Indicates the current state or outcome of an acquisition process between entities (e.g., pending, completed, failed, or canceled).
-
D.
statusIndicates
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
E.
submissionStatus
Indicates the current state or phase of a submitted item within a review or processing workflow.
- 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_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a0d96c8190bd1299edbf764bbb |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.