Triple
T22041143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Error |
E544638
|
entity |
| Predicate | serializationBehavior |
P146368
|
FINISHED |
| Object | JSON.stringify(new Error("x")) returns {} by default |
—
|
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: JSON.stringify(new Error("x")) returns {} by default | Statement: [Error, serializationBehavior, JSON.stringify(new Error("x")) returns {} by default]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serializationBehavior
Context triple: [Error, serializationBehavior, JSON.stringify(new Error("x")) returns {} by default]
-
A.
serializationStyle
Indicates how data is formatted, structured, and encoded when being converted to or from a serialized representation.
-
B.
originalSerialization
Indicates that one entity is the initial or source serialized form from which another serialized representation is derived.
-
C.
serialized
Indicates that one entity has been converted into a sequential, storable or transmittable data format representing its structure or state.
-
D.
serializedIn
Indicates that something is published or presented in sequential installments within a larger medium or series.
-
E.
serializationExample
Indicates that one entity serves as an example or illustration of how another entity is serialized or converted into a serial form.
- F. None of above. chosen
Provenance (4 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12828fc788190a22c0e9c2372656b |
completed | April 28, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:25 p.m.