Triple
T35200050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Caster |
E1016372
|
entity |
| Predicate | abilityAsAI |
P182373
|
FINISHED |
| Object | access to global computer networks |
—
|
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: access to global computer networks | Statement: [Will Caster, abilityAsAI, access to global computer networks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abilityAsAI Context triple: [Will Caster, abilityAsAI, access to global computer networks]
-
A.
abilityDescribedAs
Indicates that an ability is characterized or expressed using a particular description or phrasing.
-
B.
ability
Indicates that an entity has the capacity or power to perform a particular action or achieve a specific outcome.
-
C.
abilityRange
Indicates the spatial or contextual extent within which an entity’s ability, power, or effect can be applied or is valid.
-
D.
usesIntelligence
Indicates that an entity applies mental abilities such as reasoning, problem-solving, or understanding to perform an action or achieve a goal.
-
E.
actualAbility
Indicates that an entity truly possesses the capacity or power to perform a specified action or bring about a particular outcome, beyond mere potential or permission.
- 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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78e344f18819088a4e5e75b2b69b7 |
completed | May 3, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78c337cec8190bfdab225a3cc96db |
completed | May 3, 2026, 5:56 p.m. |
Created at: May 3, 2026, 4:02 p.m.