Triple
T14722657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Carlos |
E345853
|
entity |
| Predicate | actsInOriginalVersion |
P115522
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Don Carlos, actsInOriginalVersion, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actsInOriginalVersion Context triple: [Don Carlos, actsInOriginalVersion, 5]
-
A.
appearsInOriginalTitle
Indicates that an entity is mentioned or featured within the original (non-localized) title of another work or resource.
-
B.
originallyPerformedByCharacter
Indicates that an action, work, or role was first carried out or portrayed by a particular character.
-
C.
originallyCastFrom
Indicates that one entity was the source or original form from which another entity was cast, derived, or transformed.
-
D.
originalRelease
Indicates the initial publication or first official release event of a work or product.
-
E.
scriptOfOriginalEdition
Indicates that an original edition of a work is written in, or associated with, a particular script or writing system.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25d56fc8190871873ca55d49272 |
completed | April 14, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69de657e174481909da0437556334a04 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:29 a.m.