Triple
T28148047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 8 Out of 10 Cats Does Countdown |
E714535
|
entity |
| Predicate | usesSetDesignFrom |
P179023
|
FINISHED |
| Object | Countdown |
—
|
NE NERFINISHED |
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: Countdown | Statement: [8 Out of 10 Cats Does Countdown, usesSetDesignFrom, Countdown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSetDesignFrom Context triple: [8 Out of 10 Cats Does Countdown, usesSetDesignFrom, Countdown]
-
A.
usesDesignModel
Indicates that one entity applies or relies on a particular design model in performing its function or defining its structure.
-
B.
designUse
Indicates that one entity is used as a design basis, purpose, or intended functional use for another entity.
-
C.
hasDesignInputFrom
Indicates that the design of one entity is based on, influenced by, or derived from input provided by another entity.
-
D.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
E.
designSelected
Indicates that a particular design option has been chosen or marked as the active/primary selection among alternatives.
- F. None of above. chosen
Provenance (4 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71995853c8190912025c0e83640c8 |
completed | May 3, 2026, 9:47 a.m. |
Created at: April 27, 2026, 9:58 p.m.