Triple
T20223174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ur-Hamlet |
E495309
|
entity |
| Predicate | statusInShakespeareStudies |
P139284
|
FINISHED |
| Object | important hypothetical source |
—
|
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: important hypothetical source | Statement: [Ur-Hamlet, statusInShakespeareStudies, important hypothetical source]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInShakespeareStudies Context triple: [Ur-Hamlet, statusInShakespeareStudies, important hypothetical source]
-
A.
hasBeenStudiedSince
Indicates that an entity has been the subject of study or research starting from a specified point in time and continuing thereafter.
-
B.
statusOfLiteratureInEnglishTest
Indicates the current state or outcome of an English literature test for a given entity.
-
C.
statusInSira
Indicates the status or standing that an entity holds within the Sira system or classification.
-
D.
scholarlyStatusInLegend
Indicates the recognized scholarly role, rank, or reputation an entity holds within a particular legend or mythic narrative.
-
E.
hasResearchStatus
Indicates that an entity holds a particular stage or condition within a research process, such as planned, in progress, completed, or published.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd729548190942bcf842f03c4cd |
completed | April 20, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:39 p.m.