Triple
T27523788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | wug test |
E694780
|
entity |
| Predicate | typicalPrompt |
P82546
|
FINISHED |
| Object | "Now there are two of them. There are two _____." |
—
|
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: "Now there are two of them. There are two _____." | Statement: [wug test, typicalPrompt, "Now there are two of them. There are two _____."]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPrompt Context triple: [wug test, typicalPrompt, "Now there are two of them. There are two _____."]
-
A.
promptType
chosen
Indicates the specific category or style of a prompt that characterizes how an instruction or request is framed or intended to be interpreted.
-
B.
typicalQuestion
Indicates that an entity is a common or standard question typically asked in a given context or situation.
-
C.
typicalAnswerType
Indicates the usual or expected kind of entity or value that serves as an answer to a given question or query.
-
D.
typicalTrigger
Indicates that one entity commonly or characteristically causes, initiates, or brings about the occurrence of another entity or event.
-
E.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
- 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_69ef538550208190aa9de8e2cb260d93 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69ffc1550cb481908628e446d9b67f7b |
completed | May 9, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69ffc10a74708190ae90e2c378791f70 |
completed | May 9, 2026, 11:19 p.m. |
Created at: April 27, 2026, 1:22 p.m.