Triple
T27642084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superior |
E696613
|
entity |
| Predicate | exploresConsequencesOf |
P164515
|
FINISHED |
| Object | magical wish fulfillment |
—
|
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: magical wish fulfillment | Statement: [Superior, exploresConsequencesOf, magical wish fulfillment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploresConsequencesOf Context triple: [Superior, exploresConsequencesOf, magical wish fulfillment]
-
A.
consequenceOfInfluence
Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
-
B.
hasConsequence
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
C.
consequenceOfExperiments
Indicates that something occurs as a result or outcome of one or more experiments.
-
D.
unexpectedConsequenceOf
Indicates that one event, action, or condition occurs as an unforeseen or unintended result of another.
-
E.
consequenceInText
Indicates that one event, action, or state is presented in the text as a consequence or result of another.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f64e6e8c9081908ce4d364aa26147a |
completed | May 2, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 27, 2026, 2:27 p.m.