Triple
T10328777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ReadableByteStreamController |
E242825
|
entity |
| Predicate | errorMethodEffect |
P26088
|
FINISHED |
| Object | puts stream in errored state |
—
|
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: puts stream in errored state | Statement: [ReadableByteStreamController, errorMethodEffect, puts stream in errored state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorMethodEffect Context triple: [ReadableByteStreamController, errorMethodEffect, puts stream in errored state]
-
A.
possibleSideEffect
Indicates that one entity may occur as a side effect or unintended consequence of another entity or action.
-
B.
measuredEffect
Indicates that an action or process has produced a specific, quantified outcome or impact on something.
-
C.
sideEffect
Indicates that one entity is an unintended or secondary effect resulting from the use or occurrence of another entity.
-
D.
hasIntendedEffect
Indicates that one entity is expected or designed to produce a particular effect or outcome on another entity or context.
-
E.
affectedFunction
chosen
Indicates that one entity has an impact on, alters, or impairs the operation or behavior of another entity’s function.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cfd54c8190b6f88598339536d1 |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f64a648190a79980d647898eb0 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:52 a.m.