Triple
T22029999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Tomorrow, and tomorrow, and tomorrow" |
E544058
|
entity |
| Predicate | quotationLength |
P61559
|
FINISHED |
| Object | short phrase |
—
|
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: short phrase | Statement: ["Tomorrow, and tomorrow, and tomorrow", quotationLength, short phrase]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quotationLength Context triple: ["Tomorrow, and tomorrow, and tomorrow", quotationLength, short phrase]
-
A.
quotationText
Indicates that the associated text is the exact content of a quotation made or referenced in the relationship.
-
B.
sentenceLength
chosen
Indicates the length or number of units (such as characters, words, or tokens) that a given sentence contains.
-
C.
quoteLanguage
Indicates that a quoted text is expressed in a particular language.
-
D.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
E.
quoteType
Indicates the specific category or classification of a quotation, such as its style, purpose, or contextual role in discourse.
- 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.