Triple
T37228047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Compact Pussycat |
E923057
|
entity |
| Predicate | hasGadgets |
P66036
|
FINISHED |
| Object | beauty-themed gadgets |
—
|
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: beauty-themed gadgets | Statement: [The Compact Pussycat, hasGadgets, beauty-themed gadgets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGadgets Context triple: [The Compact Pussycat, hasGadgets, beauty-themed gadgets]
-
A.
hasGadget
chosen
Indicates that an entity possesses, uses, or is equipped with a particular gadget.
-
B.
hasElectronicsFeature
Indicates that an entity possesses or is characterized by a specific electronic-related feature or capability.
-
C.
typicalGadgets
Indicates that the associated items are commonly used or standard gadgets typically found or expected in a given context.
-
D.
hasHardware
Indicates that one entity possesses, includes, or is equipped with specific hardware components or devices.
-
E.
hasHolodeck
Indicates that an entity possesses or includes a holodeck facility or feature.
- 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.