Triple
T34189809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werner Schwab |
E877068
|
entity |
| Predicate | yearsActiveAsPlaywright |
P98925
|
FINISHED |
| Object | late 1980s–1994 |
—
|
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–1994 | Statement: [Werner Schwab, yearsActiveAsPlaywright, late 1980s–1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsActiveAsPlaywright Context triple: [Werner Schwab, yearsActiveAsPlaywright, late 1980s–1994]
-
A.
hasPlaywrightDebutFor
Indicates that an entity made their first appearance or debut as a playwright specifically for a given work, production, or context.
-
B.
yearsActiveAsScreenwriter
Indicates the span of time during which an entity has been professionally active as a screenwriter.
-
C.
yearsActiveInStory
Indicates the span of years during which the entity is active or participates within the context of the story.
-
D.
activeYearsInFilm
Indicates the span of years during which an entity was actively involved in film-related work or roles.
-
E.
activeAsPlaywrightFrom
chosen
Indicates the time period during which an entity was actively working in the role of a playwright.
- 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_69f349af20a4819089ac24d28f2d8112 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710234e208190a12b25cb7dd9da8d |
completed | May 3, 2026, 9:06 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:55 a.m.