Triple
T20190810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sable |
E492972
|
entity |
| Predicate | conversationMechanic |
P39812
|
FINISHED |
| Object | talk frequency affects dialogue depth |
—
|
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: talk frequency affects dialogue depth | Statement: [Sable, conversationMechanic, talk frequency affects dialogue depth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversationMechanic Context triple: [Sable, conversationMechanic, talk frequency affects dialogue depth]
-
A.
interactionMechanism
Indicates the process or means by which one entity affects, influences, or interacts with another.
-
B.
gameplayMechanic
chosen
Indicates a relationship where one entity functions as a rule, system, or interactive feature that defines how another entity can be played or operated within a game.
-
C.
dialogueDriven
Indicates that an interaction, narrative, or process is primarily advanced or structured through spoken or written dialogue between participants.
-
D.
dialogueWith
Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
-
E.
dialogueDynamic
Indicates a relationship where entities are engaged in or contributing to an evolving, back-and-forth dialogue or conversational exchange.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad593f88190a1e534fed38b3cd7 |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:37 p.m.