Triple
T27734704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.IO.TextWriter |
E697502
|
entity |
| Predicate | Null |
P163144
|
FINISHED |
| Object | isTextWriterThatIgnoresAllWrites |
—
|
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: isTextWriterThatIgnoresAllWrites | Statement: [System.IO.TextWriter, Null, isTextWriterThatIgnoresAllWrites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Null Context triple: [System.IO.TextWriter, Null, isTextWriterThatIgnoresAllWrites]
-
A.
nullSpace
Indicates that a vector lies in the null space of a linear transformation, meaning it is mapped to the zero vector by that transformation.
-
B.
nulliusCase
Indicates that something is expressed in the genitive case used with the Latin word *nullius* (“of no one” / “of nothing”), marking a relationship of possession, origin, or association with nonexistence or absence.
-
C.
N
Indicates that the entity is assigned the atomic symbol or element designation "N."
-
D.
never
Indicates that the specified relationship or action does not occur at any time or under any circumstances.
-
E.
neutralValue
Indicates that the relationship or action has no positive or negative bias, effect, or preference toward any of the involved entities.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6369fa1d88190ac40370ec4fa185e |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 3:12 p.m.