Triple
T10328666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ReadableStreamBYOBReader |
E242823
|
entity |
| Predicate | readsInto |
P93418
|
FINISHED |
| Object |
DataView
DataView is a low-level JavaScript interface that provides flexible, byte-level read and write access to the contents of an ArrayBuffer, supporting multiple numeric types and endianness.
|
E856197
|
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: DataView | Statement: [ReadableStreamBYOBReader, readsInto, DataView]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DataView Context triple: [ReadableStreamBYOBReader, readsInto, DataView]
-
A.
DataView
DataView is ML.NET’s core, schema-aware tabular data abstraction used to efficiently represent and process datasets for machine learning pipelines.
-
B.
DataSet API
DataSet API is Apache Flink’s now-legacy batch processing API for defining and executing scalable, distributed data transformations.
-
C.
Table View
Table View is a coastal suburb of Cape Town, South Africa, known for its beaches and panoramic views of Table Mountain.
-
D.
IDataObject
IDataObject is a core COM interface used in OLE for transferring and managing data, particularly in clipboard and drag-and-drop operations on Windows.
-
E.
Data
Data is an android Starfleet officer in Star Trek: The Next Generation, known for his quest to understand humanity and develop emotions.
- 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: DataView Triple: [ReadableStreamBYOBReader, readsInto, DataView]
Generated description
DataView is a low-level JavaScript interface that provides flexible, byte-level read and write access to the contents of an ArrayBuffer, supporting multiple numeric types and endianness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DataView Target entity description: DataView is a low-level JavaScript interface that provides flexible, byte-level read and write access to the contents of an ArrayBuffer, supporting multiple numeric types and endianness.
-
A.
DataView
DataView is ML.NET’s core, schema-aware tabular data abstraction used to efficiently represent and process datasets for machine learning pipelines.
-
B.
DataSet API
DataSet API is Apache Flink’s now-legacy batch processing API for defining and executing scalable, distributed data transformations.
-
C.
Table View
Table View is a coastal suburb of Cape Town, South Africa, known for its beaches and panoramic views of Table Mountain.
-
D.
IDataObject
IDataObject is a core COM interface used in OLE for transferring and managing data, particularly in clipboard and drag-and-drop operations on Windows.
-
E.
Data
Data is an android Starfleet officer in Star Trek: The Next Generation, known for his quest to understand humanity and develop emotions.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4dfc1b0488190ac04da58a4987da0 |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71db4a8dc81909adb2a044e74fd6b |
completed | April 9, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_69d73189d7cc8190b81bb30994b3900f |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7329891688190b5c1ec5906728f01 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:52 a.m.