Triple
T38504100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosaline |
E919914
|
entity |
| Predicate | isRetellingOf |
P104194
|
FINISHED |
| Object | Romeo and Juliet |
—
|
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: Romeo and Juliet | Statement: [Rosaline, isRetellingOf, Romeo and Juliet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRetellingOf Context triple: [Rosaline, isRetellingOf, Romeo and Juliet]
-
A.
retellsStoryOf
chosen
Indicates that one entity recounts or narrates the story originally told or experienced by another entity.
-
B.
storyToldFrom
Indicates that a story is narrated or presented from the perspective or viewpoint of a particular entity.
-
C.
hasDramatizationOf
Indicates that one work or performance is a dramatized adaptation or representation of another source work or event.
-
D.
originStoryIncludes
Indicates that an entity’s origin story contains, involves, or features the referenced element as a component or part of that backstory.
-
E.
isModernReimaginingOf
Indicates that one work is a contemporary reinterpretation or updated version of another earlier work.
- 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_69f76e9ddd4481908f8c04439d848f9d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.