Triple
T7408390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-Sides |
E170937
|
entity |
| Predicate | includesWorkFromPeriod |
P44456
|
FINISHED |
| Object | late 1980s |
—
|
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: late 1980s | Statement: [A-Sides, includesWorkFromPeriod, late 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesWorkFromPeriod Context triple: [A-Sides, includesWorkFromPeriod, late 1980s]
-
A.
hasWorkPeriod
chosen
Indicates that an entity is associated with a specific span of time during which it performs or is engaged in some work or activity.
-
B.
partOfWorkPeriod
Indicates that a specific time span is contained within, and belongs to, a larger defined work period.
-
C.
workPeriod
Indicates the span of time during which an entity is engaged in a particular work or employment activity.
-
D.
includedWorkOn
Indicates that one entity contains, features, or incorporates another entity as a work or component within it.
-
E.
coversPeriodStart
Indicates that the time span or coverage of one entity begins at, or includes, the specified starting point in time of another entity or period.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f29acf588190a7c4056bdc4f3ffc |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0323b2c819098ab72c33e6d8534 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:10 p.m.