Triple
T28549013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Let's Celebrate!" |
E722827
|
entity |
| Predicate | subjectPronoun |
P37239
|
FINISHED |
| Object | we |
—
|
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: we | Statement: ["Let's Celebrate!", subjectPronoun, we]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectPronoun Context triple: ["Let's Celebrate!", subjectPronoun, we]
-
A.
hasSubjectPronouns
chosen
Indicates that an entity is associated with one or more pronouns that function as its grammatical subject in sentences.
-
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.
hasPronounForIt
Indicates that one entity serves as the pronoun form referring to another entity.
-
D.
governsPronoun
Indicates that a particular word (typically a verb, preposition, or governing element) syntactically controls or determines the form and role of a pronoun in a sentence.
-
E.
grammaticalPersonOfVerb
Indicates the grammatical person (first, second, or third person) associated with a given verb form.
- 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_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 28, 2026, 3:41 a.m.