Triple
T7897704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angular Material |
E183375
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
MatIcon
MatIcon is an Angular Material component that displays vector-based icons from icon fonts or SVG icon sets within Angular applications.
|
E697572
|
NE FINISHED |
How this triple was built (4 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: MatIcon | Statement: [Angular Material, hasComponent, MatIcon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MatIcon Context triple: [Angular Material, hasComponent, MatIcon]
-
A.
Icon
Icon is a superhero comic book series from Milestone Media, centered on an alien hero who becomes a symbol of Black empowerment and social commentary in an urban American setting.
-
B.
Icon
Icon is a multi-launch steel roller coaster at Blackpool Pleasure Beach in England, known for its smooth ride, inversions, and high-speed twists.
-
C.
Icon
Icon is a mid-range trim level of the Toyota Auris that typically offers a balanced package of comfort, technology, and convenience features.
-
D.
Icon Star
Icon Star is the popular fan-given title of Telugu film actor Allu Arjun, highlighting his stylish screen presence and massive following.
-
E.
Icon Tech
Icon Tech is a mid-range Toyota Auris trim level that adds enhanced technology and comfort features over the car’s base specification.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MatIcon Triple: [Angular Material, hasComponent, MatIcon]
Generated description
MatIcon is an Angular Material component that displays vector-based icons from icon fonts or SVG icon sets within Angular applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MatIcon Target entity description: MatIcon is an Angular Material component that displays vector-based icons from icon fonts or SVG icon sets within Angular applications.
-
A.
Icon
Icon is a superhero comic book series from Milestone Media, centered on an alien hero who becomes a symbol of Black empowerment and social commentary in an urban American setting.
-
B.
Icon
Icon is a multi-launch steel roller coaster at Blackpool Pleasure Beach in England, known for its smooth ride, inversions, and high-speed twists.
-
C.
Icon
Icon is a mid-range trim level of the Toyota Auris that typically offers a balanced package of comfort, technology, and convenience features.
-
D.
Icon Star
Icon Star is the popular fan-given title of Telugu film actor Allu Arjun, highlighting his stylish screen presence and massive following.
-
E.
Icon Tech
Icon Tech is a mid-range Toyota Auris trim level that adds enhanced technology and comfort features over the car’s base specification.
- F. None of above. chosen
Provenance (5 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a296db8819084c620b12f77acb5 |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bb24c8c8190860e4dd1d705b04b |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb5f1f864c819086d3a2b04061ead0 |
completed | March 31, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76a214488190b90e5db28511daa0 |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5:01 p.m.