Triple
T20228703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Dylan: A Portrait of the Artist’s Early Years |
E495459
|
entity |
| Predicate | portraysPeriodOfLife |
P105042
|
FINISHED |
| Object | early years of Bob Dylan |
—
|
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: early years of Bob Dylan | Statement: [Bob Dylan: A Portrait of the Artist’s Early Years, portraysPeriodOfLife, early years of Bob Dylan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysPeriodOfLife Context triple: [Bob Dylan: A Portrait of the Artist’s Early Years, portraysPeriodOfLife, early years of Bob Dylan]
-
A.
depictsLifePeriod
chosen
Indicates that one entity visually represents or portrays a specific period or phase in the life of another entity.
-
B.
portraysFromAge
Indicates that one entity depicts another entity starting from a specified age of the depicted entity.
-
C.
portraysAgeGroup
Indicates that one entity depicts or represents another entity as belonging to a particular age group.
-
D.
portrayalDurationYears
Indicates the number of years an entity has continuously portrayed or represented another entity or role.
-
E.
lifeStage
Indicates the specific phase or period in an entity’s development or lifecycle that it is currently in.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fdb61b08190b850a9648ebfb720 |
completed | April 20, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:39 p.m.