Triple
T34711415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxwell’s demon |
E1000655
|
entity |
| Predicate | describedInAuthor |
P180782
|
FINISHED |
| Object | James Clerk Maxwell |
—
|
NE NERFINISHED |
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: James Clerk Maxwell | Statement: [Maxwell’s demon, describedInAuthor, James Clerk Maxwell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describedInAuthor Context triple: [Maxwell’s demon, describedInAuthor, James Clerk Maxwell]
-
A.
describedByAuthorAs
Indicates that one entity is characterized, labeled, or portrayed in a particular way by an author.
-
B.
authorDescribedIn
Indicates that information about an author is provided or discussed within a particular document or source.
-
C.
describedIn
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
-
D.
depictedInAuthor
Indicates that an author is visually represented or portrayed within a particular work or depiction.
-
E.
authorDescribes
chosen
Indicates that an author provides a depiction, explanation, or account of a subject in their work.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: May 3, 2026, 3:59 p.m.