Triple
T10168236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noise_NK pattern |
E235260
|
entity |
| Predicate | firstMessageSender |
P3271
|
FINISHED |
| Object | initiator |
—
|
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: initiator | Statement: [Noise_NK pattern, firstMessageSender, initiator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMessageSender Context triple: [Noise_NK pattern, firstMessageSender, initiator]
-
A.
firstMessageTo
Indicates that one entity is the initial sender of a message or communication to another entity.
-
B.
firstMessageFrom
chosen
Indicates that the related message is the earliest or initial message sent from one entity to another within a given context or conversation.
-
C.
firstBlockMessage
Indicates that this is the initial message sent in the context of a blocking action or block-related interaction between entities.
-
D.
firstBroadcastBy
Indicates that one entity is the original broadcaster or channel that first aired the other entity (such as a program, event, or content).
-
E.
firstTextMessageContent
Indicates the content or message body of the first text message sent or received in a given interaction or sequence.
- 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_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. |
Created at: March 30, 2026, 9:10 p.m.