Triple
T33044826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Few |
E845564
|
entity |
| Predicate | quotationContext |
P173559
|
FINISHED |
| Object | speech to the House of Commons on 20 August 1940 |
—
|
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: speech to the House of Commons on 20 August 1940 | Statement: [The Few, quotationContext, speech to the House of Commons on 20 August 1940]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quotationContext Context triple: [The Few, quotationContext, speech to the House of Commons on 20 August 1940]
-
A.
quoteContext
chosen
Indicates that one statement or text segment is presented as a quotation within the context provided by another statement or surrounding material.
-
B.
quotationText
Indicates that the associated text is the exact content of a quotation made or referenced in the relationship.
-
C.
memorableQuoteContext
Indicates the situational or narrative context in which a particular memorable quote was spoken or written.
-
D.
quotedWork
Indicates that one entity is a work (e.g., text, speech, or media) that is quoted or cited within another entity.
-
E.
quoteProvision
Indicates that one entity supplies or presents a quotation or price estimate to 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_69f3495242e48190996a2cb2beab5455 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:24 a.m.