Triple
T34487857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIXER |
E885379
|
entity |
| Predicate | usesForMessageRepresentation |
P109452
|
FINISHED |
| Object | MIME |
—
|
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: MIME | Statement: [MIXER, usesForMessageRepresentation, MIME]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesForMessageRepresentation Context triple: [MIXER, usesForMessageRepresentation, MIME]
-
A.
usedByFor
Indicates that one entity makes use of another entity for a specific purpose or function.
-
B.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
C.
usedFormat
chosen
Indicates that one entity employs or applies a particular format or representation in relation to another entity.
-
D.
isIntendedForUseBy
Indicates that something is designed, meant, or purposed to be used by a particular entity or group.
-
E.
usedInProtocol
Indicates that something (e.g., a method, component, or resource) is employed as part of the steps or structure of a specific protocol.
- 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_69f349c947fc81909d30b53c194d6ea1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: May 1, 2026, 2:01 a.m.