Triple
T1283969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ash Wednesday |
E27389
|
entity |
| Predicate | commonFormulaSpoken |
P16913
|
FINISHED |
| Object | Remember that you are dust, and to dust you shall return |
—
|
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: Remember that you are dust, and to dust you shall return | Statement: [Ash Wednesday, commonFormulaSpoken, Remember that you are dust, and to dust you shall return]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonFormulaSpoken Context triple: [Ash Wednesday, commonFormulaSpoken, Remember that you are dust, and to dust you shall return]
-
A.
recitesFormula
chosen
Indicates that one entity verbally or mentally repeats a specific formula, such as a set phrase, equation, or ritual wording, typically from memory.
-
B.
spokenForm
Indicates the way something is pronounced or expressed in spoken language, as opposed to its written or symbolic form.
-
C.
usedInSpokenForm
Indicates that something (such as a word, name, or expression) is employed in spoken language or oral communication.
-
D.
commonsSpeaker
Indicates that a person serves as the Speaker (presiding officer) of the House of Commons.
-
E.
languagesSpoken
Indicates that an entity is able to communicate using one or more specified languages.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b599ac819096fca9ada294d939 |
completed | March 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69a4bee276d8819092f71c5a1140bb61 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.