Triple
T8584957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Brief History of A Brief History |
E203281
|
entity |
| Predicate | hasMetaSubject |
P83723
|
FINISHED |
| Object | making of a popular-science classic |
—
|
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: making of a popular-science classic | Statement: [A Brief History of A Brief History, hasMetaSubject, making of a popular-science classic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetaSubject Context triple: [A Brief History of A Brief History, hasMetaSubject, making of a popular-science classic]
-
A.
hasMetadata
Indicates that one entity is associated with descriptive or informational data about another entity.
-
B.
hasPrimarySubject
Indicates that an entity is the main or principal subject associated with another entity or resource.
-
C.
hasTypicalSubject
Indicates that something is commonly or characteristically used as the subject (agent or topic) of a given relation or action.
-
D.
hasNotableSubject
Indicates that an entity is associated with a subject that is particularly significant, prominent, or noteworthy in relation to it.
-
E.
hasSecondarySubject
Indicates that an entity is associated with an additional, non-primary subject in a given context or relationship.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c5e8888190b721e791c449b0df |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
| PDg | Predicate description generation | batch_69cc46c330bc8190a9b644078881c6ff |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:22 p.m.