Triple
T15624332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aro |
E375641
|
entity |
| Predicate | abilityScope |
P42519
|
FINISHED |
| Object | accesses all of a person’s thoughts and memories |
—
|
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: accesses all of a person’s thoughts and memories | Statement: [Aro, abilityScope, accesses all of a person’s thoughts and memories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abilityScope Context triple: [Aro, abilityScope, accesses all of a person’s thoughts and memories]
-
A.
availabilityScope
Indicates the extent or context within which something is available, accessible, or applicable.
-
B.
accessScope
chosen
Indicates the extent or boundaries of access that one entity has to another entity or resource.
-
C.
scopeOfUse
Indicates the range, context, or conditions under which something is intended, allowed, or applicable to be used.
-
D.
scopeType
Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
-
E.
scopeOfAdvice
Indicates that one entity defines or specifies the range, boundaries, or subject matter covered by another entity’s advice or guidance.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9cfd94819091459aa17a002eaf |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.