Triple
T9902059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lope de Vega |
E182307
|
entity |
| Predicate | canonicallyAttributedPlays |
P91070
|
FINISHED |
| Object | around 300 to 400 surviving plays |
—
|
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: around 300 to 400 surviving plays | Statement: [Lope de Vega, canonicallyAttributedPlays, around 300 to 400 surviving plays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canonicallyAttributedPlays Context triple: [Lope de Vega, canonicallyAttributedPlays, around 300 to 400 surviving plays]
-
A.
famousPlay
Indicates that the subject is a well-known or widely recognized theatrical play.
-
B.
notablePlaywrightProduced
Indicates that a notable playwright created or authored the referenced play or dramatic work.
-
C.
famousPlayInvolvedIn
Indicates that a famous play is involved in, or associated with, a particular event, production, or context.
-
D.
notablePlaywrightsPerformed
Indicates that the subject has performed works written by the object, who is a notable playwright.
-
E.
theaterWork
Indicates a relationship where an entity is a theatrical work (such as a play or stage production) associated with another entity, typically as its subject, creator, or context.
- F. None of above. chosen
Provenance (4 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4e221448190b536742d1269f9d7 |
completed | April 2, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:40 p.m.