Triple
T37255402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brainy Smurf (The Smurfs, 1981 TV series) |
E924111
|
entity |
| Predicate | typicalDialogueFunction |
P205797
|
FINISHED |
| Object | delivers moral lessons |
—
|
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: delivers moral lessons | Statement: [Brainy Smurf (The Smurfs, 1981 TV series), typicalDialogueFunction, delivers moral lessons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDialogueFunction Context triple: [Brainy Smurf (The Smurfs, 1981 TV series), typicalDialogueFunction, delivers moral lessons]
-
A.
typicalDialogueStyle
Indicates the characteristic manner or pattern in which an entity typically communicates or conducts dialogue.
-
B.
typicalDialogueTheme
Indicates the usual or characteristic subject matter that conversations or dialogues between the entities tend to focus on.
-
C.
dialogueType
Indicates the specific kind or category of dialogue occurring between entities (e.g., question-answer, negotiation, instruction).
-
D.
notableDialogueFunction
Indicates that a dialogue or conversational exchange plays a particularly important or distinguished functional role within a work or context.
-
E.
dialogueWith
Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
- 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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:15 p.m.