Triple
T28349570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Would You Rather? |
E718053
|
entity |
| Predicate | encouragesDecisionMaking |
P22602
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Would You Rather?, encouragesDecisionMaking, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encouragesDecisionMaking Context triple: [Would You Rather?, encouragesDecisionMaking, true]
-
A.
encourages
Indicates actively motivating, supporting, or giving confidence to another entity to pursue an action, behavior, or state.
-
B.
envisionsDecisionMaking
Indicates that an entity mentally anticipates, imagines, or plans how a decision-making process will unfold or be carried out.
-
C.
decisionMaking
chosen
Indicates the process by which an entity evaluates options and selects a course of action among alternatives.
-
D.
decisiveFor
Indicates that one entity plays a determining or conclusive role in bringing about a particular outcome, decision, or state of another entity.
-
E.
depictedAsEncouraging
Indicates that one entity is portrayed or represented as giving support, confidence, or motivation to another entity.
- 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_69eff6ec27b481908c8d7b86c47893d9 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64e37f7fc819083809149b6661e3c |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 12:45 a.m.