Triple
T2924653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Computing Machinery and Intelligence |
E78813
|
entity |
| Predicate | publishedIn |
P309
|
FINISHED |
| Object | Mind |
E13833
|
NE 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: Mind | Statement: [Computing Machinery and Intelligence, publishedIn, Mind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mind Context triple: [Computing Machinery and Intelligence, publishedIn, Mind]
-
A.
Mind
chosen
Mind is a leading peer-reviewed philosophy journal, especially known for influential work in analytic philosophy and the philosophy of language.
-
B.
Illmind
Illmind is a Filipino-American hip-hop producer and songwriter known for his work with major artists and contributions to both mainstream rap and underground music.
-
C.
The Human Brain
The Human Brain is a popular science book by Isaac Asimov that explains the structure, function, and mysteries of the human brain for a general audience.
-
D.
Other Minds
Other Minds is a philosophical work by J. L. Austin that examines how we talk about and justify knowledge of other people's mental states.
-
E.
Gray Matter
"Gray Matter" is a horror short story by Stephen King that follows a man’s grotesque transformation after drinking a contaminated can of beer.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97c086888190ba51ce659a6c4f50 |
completed | March 8, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0563a81788190b94fab34e41a76e7 |
completed | March 10, 2026, 5:34 p.m. |
Created at: March 8, 2026, 2:55 p.m.