Triple
T12514656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | printf |
E299164
|
entity |
| Predicate | advantageOverEcho |
P105371
|
FINISHED |
| Object | predictable escape handling |
—
|
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: predictable escape handling | Statement: [printf, advantageOverEcho, predictable escape handling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advantageOverEcho Context triple: [printf, advantageOverEcho, predictable escape handling]
-
A.
echoedIn
Indicates that a sound, statement, or effect produced in one context is repeated, reflected, or resonated in another context.
-
B.
usesEchoCancellation
Indicates that an entity employs echo cancellation techniques to reduce or eliminate echo in audio communication.
-
C.
echoesJoyOf
Indicates that one entity reflects, amplifies, or resonates with the joy experienced or expressed by another entity.
-
D.
usesEcholocation
Indicates that an entity employs echolocation, using reflected sound waves to detect, locate, or navigate around objects or other entities.
-
E.
echoesNickname
Indicates that one entity repeats, adopts, or mirrors another entity’s nickname.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d954b715fc819091fa84430be46273 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 8, 2026, 9:57 p.m.