Triple
T9633965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dad (Dot. character) |
E232879
|
entity |
| Predicate | intendedMessageContext |
P81164
|
FINISHED |
| Object | positive parental role model |
—
|
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: positive parental role model | Statement: [Dad (Dot. character), intendedMessageContext, positive parental role model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedMessageContext Context triple: [Dad (Dot. character), intendedMessageContext, positive parental role model]
-
A.
intendedMessage
Indicates that one entity is the message or content that another entity aims or plans to communicate.
-
B.
intendedTargetContext
chosen
Indicates the context, situation, or setting that an action, message, or object is specifically designed or meant to be used in or directed toward.
-
C.
intendedReceiver
Indicates that one entity is the target or designated recipient of something (such as a message, item, or action) originating from another entity.
-
D.
intendedWith
Indicates that one entity is the planned or desired target, recipient, or context for the use or application of another entity.
-
E.
dialogueContext
Indicates the situational and conversational background in which a dialogue occurs, including prior exchanges and relevant circumstances that shape its interpretation.
- 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b28ce2c819086d3c6e4e6ea95a7 |
completed | April 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:11 p.m.