Triple
T16010846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aiden |
E388331
|
entity |
| Predicate | canHarm |
P32707
|
FINISHED |
| Object | other characters |
—
|
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: other characters | Statement: [Aiden, canHarm, other characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canHarm Context triple: [Aiden, canHarm, other characters]
-
A.
dangerousWhen
Indicates that one entity becomes harmful, risky, or unsafe under the conditions or in the presence of another entity or situation.
-
B.
canImpair
chosen
Indicates that one entity has the potential or ability to weaken, damage, or reduce the normal function, quality, or effectiveness of another entity.
-
C.
canKill
Indicates that one entity has the ability or potential to cause the death of another entity.
-
D.
canCensure
Indicates that one entity has the authority or power to formally reprimand, criticize, or express disapproval of another entity’s actions or behavior.
-
E.
hasDam
Indicates that a watercourse, reservoir, or similar feature is impounded or controlled by a specific dam.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:55 a.m.