Triple
T7897709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angular Material |
E183375
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
MatInput
MatInput is an Angular Material form control component that provides a styled, accessible input field consistent with the Material Design specification.
|
E697577
|
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: MatInput | Statement: [Angular Material, hasComponent, MatInput]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MatInput Context triple: [Angular Material, hasComponent, MatInput]
-
A.
Mat
Mat is a common shortened form of the given name Matthew, often used as an informal or familiar nickname.
-
B.
Matrix
Matrix is a professional haircare and hair color brand widely used in salons and owned by the cosmetics company L'Oréal.
-
C.
Matrix
The Matrix is a vast, sentient data repository and virtual reality construct on Gallifrey that stores the knowledge, memories, and consciousness of Time Lords in the Doctor Who universe.
-
D.
MATE
MATE is a lightweight, traditional-style desktop environment for Unix-like operating systems, derived from GNOME 2 and focused on simplicity and low resource usage.
-
E.
MTAB
MTAB is the operator code used to identify the MTA New York City Bus division within the Metropolitan Transportation Authority’s transit operations.
- 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: MatInput Triple: [Angular Material, hasComponent, MatInput]
Generated description
MatInput is an Angular Material form control component that provides a styled, accessible input field consistent with the Material Design specification.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MatInput Target entity description: MatInput is an Angular Material form control component that provides a styled, accessible input field consistent with the Material Design specification.
-
A.
Mat
Mat is a common shortened form of the given name Matthew, often used as an informal or familiar nickname.
-
B.
Matrix
Matrix is a professional haircare and hair color brand widely used in salons and owned by the cosmetics company L'Oréal.
-
C.
Matrix
The Matrix is a vast, sentient data repository and virtual reality construct on Gallifrey that stores the knowledge, memories, and consciousness of Time Lords in the Doctor Who universe.
-
D.
MATE
MATE is a lightweight, traditional-style desktop environment for Unix-like operating systems, derived from GNOME 2 and focused on simplicity and low resource usage.
-
E.
MTAB
MTAB is the operator code used to identify the MTA New York City Bus division within the Metropolitan Transportation Authority’s transit operations.
- 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.