Triple
T33919745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamlet Overture-Fantasy, Op. 67a |
E869567
|
entity |
| Predicate | thematicMaterialRepresents |
P55707
|
FINISHED |
| Object | Prince Hamlet |
—
|
NE NERFINISHED |
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: Prince Hamlet | Statement: [Hamlet Overture-Fantasy, Op. 67a, thematicMaterialRepresents, Prince Hamlet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thematicMaterialRepresents Context triple: [Hamlet Overture-Fantasy, Op. 67a, thematicMaterialRepresents, Prince Hamlet]
-
A.
thematicMaterial
Indicates that one entity serves as the primary recurring idea, motif, or thematic content that is developed or referenced by another entity.
-
B.
themeRepresentation
chosen
Indicates that one entity serves as a representation, depiction, or expression of the thematic content associated with another entity.
-
C.
stringMaterialDepicted
Indicates that one entity is a string material that is visually represented or depicted by another entity.
-
D.
thematicTreatment
Indicates that one entity serves as the thematic focus, subject, or central topic treated, addressed, or explored by another entity.
-
E.
materialDepicted
Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.