Triple
T9758651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Story of the Shipwrecked Sailor |
E236613
|
entity |
| Predicate | manuscriptForm |
P48838
|
FINISHED |
| Object | papyrus roll |
—
|
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: papyrus roll | Statement: [The Story of the Shipwrecked Sailor, manuscriptForm, papyrus roll]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manuscriptForm Context triple: [The Story of the Shipwrecked Sailor, manuscriptForm, papyrus roll]
-
A.
manuscript
Indicates that an entity is a written or typed document, often a draft or original version of a text, associated with another entity (such as its author, subject, or publication process).
-
B.
manuscriptMedium
chosen
Indicates the material or physical medium on which a manuscript is written or produced.
-
C.
manuscriptType
Indicates the specific category or kind of manuscript associated with an entity (e.g., draft, final version, annotated copy).
-
D.
areManuscriptsOf
Indicates that the subject entities are manuscripts that are versions, copies, or instances of the work represented by the object entity.
-
E.
manuscriptTradition
Indicates the relationship between a text and the chain of manuscript copying, transmission, and variation through which that text has been preserved and passed down.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda047d0408190b91f7195513da6e8 |
completed | April 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:24 p.m.