Triple
T22029996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Tomorrow, and tomorrow, and tomorrow" |
E544058
|
entity |
| Predicate | repetitionDevice |
P46166
|
FINISHED |
| Object | anaphora |
—
|
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: anaphora | Statement: ["Tomorrow, and tomorrow, and tomorrow", repetitionDevice, anaphora]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: repetitionDevice Context triple: ["Tomorrow, and tomorrow, and tomorrow", repetitionDevice, anaphora]
-
A.
repetitionOf
Indicates that one entity is a repeated occurrence or instance of another entity, preserving the same content or pattern.
-
B.
usesRepetition
Indicates that one entity employs repeated elements, actions, or patterns as a deliberate feature or technique in relation to another entity or context.
-
C.
repetitionRole
Indicates that one entity serves a specific function or role within a repeated or recurring occurrence of another entity or event.
-
D.
causesRepetitionOf
Indicates that one entity brings about or is responsible for the recurrence or repeated occurrence of another entity or event.
-
E.
lyricDevice
chosen
Indicates a relationship where a lyrical technique or stylistic device is employed within or by a piece of text, such as a song or poem.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ed0cb08190aead0838cc62934c |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:24 p.m.