Triple
T4867120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just Like a Woman |
E108997
|
entity |
| Predicate | isPartOfPeriod |
P58590
|
FINISHED |
| Object | Bob Dylan electric era |
—
|
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: Bob Dylan electric era | Statement: [Just Like a Woman, isPartOfPeriod, Bob Dylan electric era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfPeriod Context triple: [Just Like a Woman, isPartOfPeriod, Bob Dylan electric era]
-
A.
partOfWorkPeriod
chosen
Indicates that a specific time span is contained within, and belongs to, a larger defined work period.
-
B.
isSetInTimePeriod
Indicates that an event, story, or situation takes place within a specified time period.
-
C.
refersToPeriod
Indicates that one entity designates, references, or is associated with a specific time period or interval.
-
D.
playedInPeriod
Indicates that an entity participated or was active during a specified time period.
-
E.
periodizedAs
Indicates that something has been divided or organized into distinct time periods according to a particular periodization scheme.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d7bb0b88190bbc24498619910fc |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.