Triple
T25188851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malcolm Bright |
E630803
|
entity |
| Predicate | usesInsightFrom |
P33840
|
FINISHED |
| Object | his father’s mind |
—
|
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: his father’s mind | Statement: [Malcolm Bright, usesInsightFrom, his father’s mind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesInsightFrom Context triple: [Malcolm Bright, usesInsightFrom, his father’s mind]
-
A.
usesIntelligence
Indicates that an entity applies mental abilities such as reasoning, problem-solving, or understanding to perform an action or achieve a goal.
-
B.
usesInformationFor
Indicates that one entity applies or exploits information obtained from another entity for a particular purpose or activity.
-
C.
usesInformationSources
Indicates that an entity relies on or consults specified information sources to perform actions, make decisions, or obtain knowledge.
-
D.
usesInspectors
Indicates that one entity employs or relies on inspectors to examine, verify, or assess another entity or its activities.
-
E.
usesKnowledgeOf
chosen
Indicates that one entity applies or draws upon the knowledge possessed by another entity in performing an action or achieving a result.
- 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 12:44 p.m.