Triple
T567831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star user interface |
E13593
|
entity |
| Predicate | usedInteractionStyle |
P4130
|
FINISHED |
| Object | direct manipulation |
—
|
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: direct manipulation | Statement: [Star user interface, usedInteractionStyle, direct manipulation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInteractionStyle Context triple: [Star user interface, usedInteractionStyle, direct manipulation]
-
A.
usedWithStyle
chosen
Indicates that something is employed or applied in conjunction with a particular style or stylistic manner.
-
B.
hasInteraction
Indicates that there is some form of interaction or mutual action occurring between the related entities.
-
C.
usageType
Indicates the specific manner, purpose, or context in which something is used or intended to be used.
-
D.
operatorStyle
Indicates the manner or approach an operator uses to perform or manage an operation, such as their method, technique, or behavioral style in carrying out tasks.
-
E.
usagePattern
Indicates how something is typically used or the recurring manner in which it is employed or consumed.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b02da148190b6a9bad3a22d8ec5 |
completed | March 1, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69a494c183b081909304944aa3d0fe8f |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.