Triple
T27681810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SRP Batcher |
E697927
|
entity |
| Predicate | worksBestWhen |
P170381
|
FINISHED |
| Object | many objects share the same SRP-compatible shader |
—
|
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: many objects share the same SRP-compatible shader | Statement: [SRP Batcher, worksBestWhen, many objects share the same SRP-compatible shader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksBestWhen Context triple: [SRP Batcher, worksBestWhen, many objects share the same SRP-compatible shader]
-
A.
worksWhen
Indicates that one entity functions or operates correctly only under the conditions or context defined by another entity.
-
B.
worksWellFor
Indicates that something is effective, suitable, or produces good results for a particular entity, context, or purpose.
-
C.
worksAs
Indicates that an entity performs the role, job, or occupation specified by another entity.
-
D.
worksThrough
Indicates that one entity performs an action, causes an effect, or achieves a result by using, employing, or acting via another entity as an intermediary or means.
-
E.
worksAgainst
Indicates that one entity actively opposes, counteracts, or undermines the goals, effects, or interests of another entity.
- 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_69ef590df8708190af5488f0638e790c |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 27, 2026, 2:47 p.m.