Triple
T34040779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chase: Celebrity Specials |
E872936
|
entity |
| Predicate | usesQuestionType |
P12351
|
FINISHED |
| Object | general knowledge questions |
—
|
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: general knowledge questions | Statement: [The Chase: Celebrity Specials, usesQuestionType, general knowledge questions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesQuestionType Context triple: [The Chase: Celebrity Specials, usesQuestionType, general knowledge questions]
-
A.
questionnaireType
Indicates the specific category or kind of questionnaire associated with an entity or interaction.
-
B.
questionType
chosen
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
-
C.
questionForm
Indicates that one entity is expressed or structured in the form of a question directed toward another entity or context.
-
D.
questionAsksWhether
Indicates that one entity poses a question to determine if a particular condition, fact, or proposition is true or not.
-
E.
usesSurveyOf
Indicates that one entity bases its work, analysis, or decision on data or findings obtained from a particular survey conducted by another entity.
- 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_69f349a3363081909cea4c9a848cefe2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:51 a.m.