Triple
T11904646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Mailer bibliography |
E283243
|
entity |
| Predicate | documentsCareerSpan |
P92018
|
FINISHED |
| Object | mid-20th century |
—
|
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: mid-20th century | Statement: [Norman Mailer bibliography, documentsCareerSpan, mid-20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentsCareerSpan Context triple: [Norman Mailer bibliography, documentsCareerSpan, mid-20th century]
-
A.
hasCareerSpanCoverage
chosen
Indicates that one entity’s coverage, record, or data extends across the full duration of another entity’s career span.
-
B.
studCareerStartYear
Indicates the calendar year in which a student's academic or educational career formally began.
-
C.
documentsCareerStage
Indicates that something records or specifies the career stage or professional phase of an entity.
-
D.
laterCareerWorkOf
Indicates that one work represents a creator’s later career output in relation to another work or to their overall body of work.
-
E.
workYear
Indicates the specific year or span of years during which an entity (such as a person or organization) was engaged in work or employment.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e525460c81909d855048d9c799bf |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.