Triple
T10168257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noise_NK pattern |
E235260
|
entity |
| Predicate | firstMessageFields |
P92204
|
FINISHED |
| Object | e (initiator ephemeral) |
—
|
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: e (initiator ephemeral) | Statement: [Noise_NK pattern, firstMessageFields, e (initiator ephemeral)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMessageFields Context triple: [Noise_NK pattern, firstMessageFields, e (initiator ephemeral)]
-
A.
firstMessageFrom
Indicates that the related message is the earliest or initial message sent from one entity to another within a given context or conversation.
-
B.
firstMessageTo
Indicates that one entity is the initial sender of a message or communication to another entity.
-
C.
firstTextMessageContent
Indicates the content or message body of the first text message sent or received in a given interaction or sequence.
-
D.
firstBlockMessage
Indicates that this is the initial message sent in the context of a blocking action or block-related interaction between entities.
-
E.
primaryField
Indicates the main area of focus, discipline, or domain most centrally associated with an 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec6f64a48190883aefce58a65ca6 |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba9956c8190a3e15d091e33149d |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4fed19d481909d2c7ff1114664b6 |
completed | April 1, 2026, 5:03 p.m. |
Created at: March 30, 2026, 9:10 p.m.