Triple
T28549026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Let's Celebrate!" |
E722827
|
entity |
| Predicate | grammaticalNumberOfSubject |
P11612
|
FINISHED |
| Object | plural |
—
|
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: plural | Statement: ["Let's Celebrate!", grammaticalNumberOfSubject, plural]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grammaticalNumberOfSubject Context triple: ["Let's Celebrate!", grammaticalNumberOfSubject, plural]
-
A.
hasGrammaticalNumber
chosen
Indicates that an expression is associated with a specific grammatical number category (such as singular, plural, or dual) in a language.
-
B.
grammaticalPerson
Indicates the grammatical role of a participant in speech (such as first, second, or third person) in relation to the speaker and listener.
-
C.
numberOfGrammaticalCases
Indicates the relationship that specifies how many distinct grammatical cases a language or linguistic system possesses.
-
D.
hasNounClassCount
Indicates the number of distinct noun classes that are associated with or defined for a given entity.
-
E.
hasSubjectCount
Indicates that an entity is associated with a specific number of subjects.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6500f8ae48190b4f5bd98b505c037 |
completed | May 2, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:41 a.m.