Triple
T28333182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gismonda |
E717587
|
entity |
| Predicate | hasPrintedText |
P6359
|
FINISHED |
| Object | published play script |
—
|
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: published play script | Statement: [Gismonda, hasPrintedText, published play script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrintedText Context triple: [Gismonda, hasPrintedText, published play script]
-
A.
isPrinted
Indicates that a physical copy of an item has been produced using a printing process.
-
B.
hasLanguagePrinting
Indicates that an entity produces printed materials in a specified language.
-
C.
hasPrintFeature
Indicates that an entity possesses a specific printing-related characteristic or capability.
-
D.
hasPrintVersion
chosen
Indicates that one entity exists or is available as a printed or physical edition of another entity.
-
E.
isPrintedAs
Indicates that one entity appears in physical or visual form as another entity, such as a specific representation, format, or layout used when it is printed or displayed.
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: April 28, 2026, 12:33 a.m.